Accepted Papers for ICDCS 2024
Regular Submissions
Quart: Latency-Aware FaaS System for Pipelining Large Model Inference, Yanying Lin (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences), Yanbo Li (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Southern University of Science and Technology), Shijie Peng (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences), Yingfei Tang (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences), Shutian Luo (Yale University), Haiying Shen (University of Virginia), Chengzhong Xu (University of Macau) and Kejiang Ye (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences)
EdgeVPR: Transformer-based Real-Time Video Person Re-Identification at the Edge, Meng Sun (Tsinghua University), Ju Ren (Tsinghua University) and Yaoxue Zhang (Tsinghua University)
AdapCC: Making Collective Communication in Distributed Machine Learning Adaptive, Xiaoyang Zhao (The University of Hong Kong), Zhe Zhang (The University of HongKong) and Chuan Wu (The University of Hong Kong)
TrimCaching: Parameter-sharing AI Model Caching in Wireless Edge Networks, Guanqiao Qu (The University of Hong Kong), Zheng Lin (The University of Hong Kong), Fangming Liu (Peng Cheng Laboratory), Xianhao Chen (The University of Hong Kong) and Kaibin Huang (The University of Hong Kong)
DOTA: An ML-Accelerated Framework for Large Scale Constrained Traffic Engineering, Cheng Gu (University of Toronto, Huawei 2012 Labs), Xin Song (Huawei 2012 Technologies Lab), Baochun Li (University of Toronto), Ben Hok Ng (Huawei 2012 Technologies Lab), Geng Li (Huawei 2012 Technologies Lab), Zehua Guo (Beijing Institute of Technology) and Qiao Xiang (Xiamen University)
Portus: Efficient DNN Checkpointing to Persistent Memory with Zero-Copy, Yuanhao Li (Shanghaitech University), Tianyuan Wu (Shnghaitech University), Guancheng Li (Shanghaitech University), Yanjie Song (Shanghaitech University) and Shu Yin (yinshu@shanghaitech.edu.cn)
MEGA: : More Efficient Graph Attention for GNNs, Weishu Deng (University of Texas at Arlington) and Jia Rao (University of Texas at Arlington)
When the Edge Meets Transformers: Distributed Inference with Transformer Models, Chenghao Hu (University of Toronto) and Baochun Li (University of Toronto)
Power Profile Monitoring and Tracking Evolution of System-Wide HPC Workloads, Ahmad Maroof Karimi (Oak Ridge National Laboratory), Naw Safrin Sattar (Oak Ridge National Laboratory), Woong Shin (Oak Ridge National Laboratory) and Feiyi Wang (Oak Ridge National Laboratory)
Bridging the Data Gaps in Federated Preference Learning with AIGC, Chenyu Wang (Sun Yat-sen University), Zhi Zhou (Sun Yat-sen University), Xiaoxi Zhang (Sun Yat-sen University) and Xu Chen (Sun Yat-sen University)
Robust Decentralized Online Optimization against Malicious Agents, Dacheng Wen (The University of Hong Kong), Yupeng Li (Hong Kong Baptist University), Xiaoxi Zhang (Sun Yat-sen University) and Francis C.M. Lau (The University of Hong Kong, Hong Kong)
Fault-tolerant Consensus in Anonymous Dynamic Network, Qinzi Zhang (Boston University) and Lewis Tseng (Clark University)
Partition Detection in Byzantine Networks, Manon Sourisseau (Univ Rennes, Inria, CNRS, IRISA), François Taïani (Univ Rennes, Inria, CNRS, IRISA), Yérom-David Bromberg (Univ Rennes, Inria, CNRS, IRISA) and Jérémie Decouchant (TU Delft)
The Impact of Asynchrony on Stability of MAC, Paweł Garncarek (University of Wrocław), Dariusz Kowalski (Augusta University), Shay Kutten (Technion) and Lauren Murach (Augusta University)
A Lock-free Binary Trie, Jeremy Ko (University of Toronto)
Learning Minimum Linear Arrangements of Cliques and Lines, Julien Dallot (TU Berlin), Maciej Pacut (Technical University of Berlin), Marcin Bienkowski (University of Wroclaw), Darya Melnyk (TU Berlin) and Stefan Schmid (TU Berlin)
SensorBFT: Fault-Tolerant Target Localization using Voronoi Diagrams and Approximate Agreement, Akhil Bandarupalli (Purdue University), Adithya Bhat (Visa Research), Somali Chaterji (Purdue University), Michael Reiter (Duke University), Aniket Kate (Purdue University/Supra Research) and Saurabh Bagchi (Purdue University)
Distributed Pooled Data Intrusion Detection: Lessons Learned from Quantitative Group Testing, Max Hahn-Klimroth (Goethe University Frankfurt), Dominik Kaaser (TU Hamburg) and Malin Rau (Universität Hamburg)
Large Scale Causal Data Replication for Stateful Edge Applications, Pedro Fouto (NOVA-LINCS & Universidade NOVA de Lisboa), Nuno Preguiça (NOVA-LINCS & Universidade NOVA de Lisboa) and João Leitão (NOVA-LINCS & Universidade NOVA de Lisboa)
Knowledge Connectivity Requirements for Solving BFT Consensus with Unknown Participants and Fault Threshold, Hasan Heydari (LASIGE, Faculdade de Ciências, Universidade de Lisboa, Portugal), Robin Vassantlal (LASIGE, Faculdade de Ciências, Universidade de Lisboa, Portugal) and Alysson Bessani (LASIGE, Faculdade de Ciências, Universidade de Lisboa, Portugal)
Reducing First-Frame Delay of Live Streaming by Simultaneously Initializing Window and Rate, Bo Wu (Tencent Technologies), Tong Li (Renmin University of China), Cheng Luo (Tencent Technologies), Xu Yan (Renmin University of China), Fuyu Wang (Tencent Technologies), Changkui Ouyang (Tencent Technologies), Lingfeng Guo (Tencent Technologies), Haiyang Wang (University of Minnesota at Duluth) and Ke Xu (Tsinghua University)
MuSAC: Mutualistic Sensing and Communication for Mobile Crowdsensing, Sijie Ji (The University of Hong Kong), Lixiang Lian (ShanghaiTech University), Yuanqing Zheng (The Hong Kong Polytechnic University) and Chenshu Wu (The University of Hong Kong)
Debuglet: Programmable and Verifiable Inter-domain Network Telemetry, Seyedali Tabaeiaghdaei (ETH Zürich), Filippo Costa (SWITCH), Jonghoon Kwon (ETH Zürich), Patrick Bamert (Zürcher Kantonalbank), Yih-Chun Hu (University of Illinois at Urbana-Champaign) and Adrian Perrig (ETH Zürich)
Multi-user Entanglement Routing Design over Quantum Internets, Yiming Zeng (ECE Department Stony Brook University), Jiarui Zhang (Stony Brook University), Xiaojun Shang (University of Texas at Arlington), Ji Liu (Stony Brook University), Zhenhua Liu (Stony Brook University) and Yuanyuan Yang (Stony Brook University)
Learning From The History: Accurately and Efficiently Aggregating Geospatial Data under Local Differential Privacy, Mengyuan Wang (Hunan University), Hongbo Jiang (Hunan University), Liang Hu (Hunan University), Jie Li (Central South University of Forestry and Technology), Peng Sun (Hunan University) and Jiangchuan Liu (Simon Fraser University)
Robust Categorical Data Clustering Guided by Multi-Granular Competitive Learning, Shenghong Cai (Guangdong University of Technology), Yiqun Zhang (Guangdong University of Technology), Xiaopeng Luo (Guangdong University of Technology), Yiu-Ming Cheung (Hong Kong Baptist University), Hong Jia (Shenzhen University) and Peng Liu (Guangdong University of Technology)
Efficient Pretraining and Finetuning of Quantized LLMs with Low-rank Structure, Xiao-Yang Liu (Department of Computer Science, Rensselaer Polytechnic Institute), Jie Zhang (School of Computer Engineering and Science, Shanghai University), Guoxuan Wang (Department of Computer Science, Whiting School of Engineering, Johns Hopkins University), Weiqin Tong (School of Computer Engineering and Science, Shanghai University) and Anwar Walid (Department of Computer Science, Columbia University)
AcBF: A Revocable Blockchain-based Identity Management Enabling Low-Latency Authentication, Jianan Hong (Shanghai Jiao Tong University), Jiayue Zhou (Shanghai Jiao Tong University), Yuqing Li (Wuhan University), Jia Cheng (Shanghai Jiao Tong University) and Cunqing Hua (Shanghai Jiao Tong University)
CORE: Transaction Commit-Controlled Release of Private Data over Blockchains, Shan Wang (Southeast University & The Hong Kong Polytechnic University), Ming Yang (Southeast University), Jiannong Cao (The Hong Kong Polytechnic University), Zhen Ling (Southeast University), Qiang Tang (The University of Sydney) and Xinwen Fu (University of Massachusetts Lowell)
Orbit: A Dynamic Account Allocation Mechanism In Sharding Blockchain System, Xin Wang (Institute of Computing Technology, Chinese Academy of Sciences;University of Chinese Academy of Sciences), Bo Li (Institute of Computing Technology, Chinese Academy of Sciences;University of Chinese Academy of Sciences.), Linpeng Jia (Institute of Computing Technology, Chinese Academy of Sciences.) and Yi Sun (Institute of Computing Technology, Chinese Academy of Sciences;University of Chinese Academy of Sciences.)
CubeChain: Generalized Query Framework for Intra- and Cross-Chain Scenarios, Haochen Ren (College of Intelligence and Computing, Tianjin University, China), Xiulong Liu (College of Intelligence and Computing, Tianjin University, China), Hao Xu (College of Intelligence and Computing, Tianjin University, China), Chenyu Zhang (College of Intelligence and Computing, Tianjin University, China) and Keqiu Li (College of Intelligence and Computing, Tianjin University, China)
Enabling High-Performance EOV Blockchains via Transaction Ordering Exploration, Mei Yu (College of Intelligence and Computing, Tianjin University, China), Yihan Zhao (Tianjin International Engineering Institute, Tianjin University, China), Jianrong Wang (College of Intelligence and Computing, Tianjin University, China), Dengcheng Hu (College of Intelligence and Computing, Tianjin University, China), Xiulong Liu (College of Intelligence and Computing, Tianjin University, China), Qi Li (College of Intelligence and Computing, Tianjin University, China) and Keqiu Li (College of Intelligence and Computing, Tianjin University, China)
SecSCS: A User-Centric Secure Smart Camera System Based on Blockchain, Xinyuan Qian (University of Electronic Science and Technology of China), Hongwei Li (University of Electronic Science and Technology of China), Haoyong Wang (Chongging Key Laboratory of Automated Reasoning and Cognition), Guowen Xu (City University of Hong Kong), Shengmin Xu (Fujian Normal University) and Ju Ren (Tsinghua University)
USSC: Universal and Storage-efficient Sidechains, Taotao Li (Sun Yat-sen University), Huawei Huang (Sun Yat-sen University), Lingyuan Yin (Institute of Industrial Internet and Internet of Things, China Academy of Information and Communications Technology), Siyuan Yao (Beijing University of Posts and Telecommunications) and Zibin Zheng (Sun Yat-sen University)
Hammer: A General Blockchain Evaluation Framework, Gang Wang (Northeastern University), Yanfeng Zhang (Northeastern University), Chenhao Ying (Shanghai Jiao Tong University), Xiaohua Li (Northeastern University) and Ge Yu (Northeastern University)
SG-FCB: A Stackelberg Game-Driven Fair Committee-based Blockchain Consensus Protocol, Ningbin Yang (Guangzhou University), Chunming Tang (Guangzhou University), Zehui Xiong (Singapore University of Technology and Design), Qian Chen (Xidian University), Jiawen Kang (Guangdong University of Technology) and Debiao He (Wuhan University)
Universal and Trustless Large-Value Payments in Cryptocurrencies, Zihan Liu (Fujian Normal University), Chao Lin (Jinan University), Debiao He (Wuhan University), Xinyi Huang (Hong Kong University of Science and Technology (Guangzhou)) and Lang Pu (Nanjing University of Aeronautics and Astronautics)
D2T: Dynamic Dual Threshold Policy of Shared-Memory in Data Center Switches, Jiawei Huang (Central South University), Hui Li (Central South University), Zhaoyi Li (Central South University), Zihao Chen (Central South University), Jingling Liu (Central South University), Jing Shao (Central South University), Wenlu Zhang (Central South University), Yijun Li (Central South University), Sitan Li (Central South University), Shengwen Zhou (Central South University), Ping Zhong (Central South University), Jianxin Wang (Central South University), Wanchun Jiang (Central South University) and Yong Cui (Tsinghua University)
Understanding the IO Performance Gap between OS-level and VM-level Containers in High-Density Deployment, Wentai Li (Shanghai Jiao Tong University), Kaijun Zhou (Shanghai Jiao Tong University), Jiacheng Shi (Shanghai Jiao Tong University), Xingman Chen (Huawei), Yadong Liu (Huawei), Luyuan Wang (Beijing Institute of Spacecraft System) and Jinyu Gu (Shanghai Jiao Tong University)
Optimal Wide Stripe Generation in Locally Repairable Codes via Staged Stripe Merging, Si Wu (University of Science and Technology of China (USTC)), Guantian Lin (University of Science and Technology of China (USTC)), Patrick P. C. Lee (The Chinese University of Hong Kong (CUHK)), Cheng Li (University of Science and Technology of China (USTC)) and Yinlong Xu (University of Science and Technology of China (USTC))
NPV: Fast Network Policy Verification for Cloud-Native Networking, Shunbin Dong (Fudan University), Yuming Xie (Fudan University), Jin Zhao (Fudan University) and Kun Qiu (Fudan University)
Latency-guaranteed Co-location of Inference and Training for Reducing Data Center Expenses, Guoyu Chen (The Ohio State University), Srinivasan Subramaniyan (The Ohio State University) and Xiaorui Wang (The Ohio State University)
Aquilas: Adaptive QoS-oriented Multipath Packet Scheduler with Hierarchical Intelligence for QUIC, Congxi Song (National University of Defense Technology), Biao Han (National University of Defense Technology), Ruidong Li (Kanazawa University), Xueqiang Han (National University of Defense Technology), Cong Liu (Information Center of Logistic Support Department, CMC) and Jinshu Su (National University of Defense Technology)
HardWhale: A Hardware-isolated Network Security Enforcement System for Cloud Environments, Myoungsung You (KAIST), Jaehyun Nam (Dankook University), Hyunmin Seo (KAIST), Minjae Seo (KAIST), Jaehan Kim (KAIST), Dongmin Choi (KAIST) and Seungwon Shin (KAIST)
P4CE: Consensus over RDMA at Line Speed, Remi Dulong, Remi Dulong (University of Neuchâtel), Sébastien Vaucher (Université de Neuchâtel), Baptiste Lepers (University of Neuchâtel), Valerio Schiavoni (University of Neuchâtel), Gaël Thomas (Inria), Pascal Felber (University of Neuchatel) and Nathan Felber (EPFL, Switzerland)
FARM: Comprehensive Data Center Network Monitoring and Management, Jérôme Graf (Università della Svizzera italiana), Pavel Chuprikov (Università della Svizzera italiana), Patrick Eugster (Università della Svizzera italiana) and Patrick Jahnke (SAP SE)
Interleaved Function Stream Execution Model for Cache-Aware High-Speed Stateful Packet Processing, Ziyan Wu (University of Minnesota, Twin Cities), Yang Zhang (University of Minnesota, Twin Cities), Feng Tian (University of Minnesota, Twin Cities), Minjun Wu (University of Minnesota, Twin Cities), Antonia Zhai (University of Minnesota, Twin Cities) and Zhi-Li Zhang (University of Minnesota, Twin Cities)
LinuxFP: Transparently Accelerating Linux Networking, Marcelo Abranches, Marcelo Abranches (University of Colorado, Boulder), Erika Hunhoff (University of Colorado, Boulder), Rohan Eswara (University of Colorado,Boulder), Oliver Michel (Princeton University) and Eric Keller (University of Colorado, Boulder)
Group-Centric Scheduling for Industrial Edge Computing Networks with Incomplete Information, Tongxin Zhu (Southeast University), Ouming Zou (Southeast University), Xiaolin Fang (Southeast University), Junzhou Luo (Southeast University), Yingshu Li (Georgia State University) and Zhipeng Cai (Georgia State University)
Fine-Grained Service Lifetime Optimization for Energy-Constrained Edge-Edge Collaboration, Haodong Zou (Hong Kong Baptist University & BNU-HKBU United International College), Yupeng Li (Hong Kong Baptist University), Jiandian Zeng (Beijing Normal University), Jianxiong Guo (Beijing Normal University), Jiannong Cao (The Hong Kong Polytechnic University) and Tian Wang (Beijing Normal University & BNU-HKBU United International College)
FedSZ: Leveraging Floating-Point Lossy Compression for Federated Learning Communications, Grant Wilkins (University of Cambridge), Sheng Di (Argonne National Laboratory), Jon Calhoun (Clemson University), Zilinghan Li (University of Illinois Urbana-Champaign), Kibaek Kim (Argonne National Laboratory), Robert Underwood (Argonne National Laboratory), Richard Mortier (University of Cambridge) and Franck Cappello (Argonne National Lab)
EdgStr: Automating Client-Cloud to Client-Edge-Cloud Transformation, Kijin An (Samsung Research) and Eli Tilevich (Virginia Tech)
Edge Cache on WiFi Access Points: Millisecond-Level App Latency Almost for Free, Zhengquan Li (University of Michigan at Dearborn), Summit Shrestha (University of Michigan at Dearborn), Zheng Song (University of Michigan at Dearborn) and Eli Tilevich (Virginia Tech)
Anole: Adapting Diverse Compressed Models for Cross-scene Prediction on Mobile Devices, Yunzhe Li (Shanghai Jiao Tong University), Hongzi Zhu (Shanghai Jiao Tong University), Zhuohong Deng (Shanghai Jiao Tong University), Yunlong Cheng (Shanghai Jiao Tong University), Liang Zhang (Shanghai Jiao Tong University), Shan Chang (Donghua University) and Minyi Guo (Shanghai Jiao Tong University)
OffloaDNN: Shaping DNNs for Scalable Offloading of Computer Vision Tasks at the Edge, Corrado Puligheddu (Politecnico di Torino), Nancy Varshney (Politecnico di Torino), Tanzil Hassan (Northeastern University), Jonathan Ashdown (United States Air Force), Francesco Restuccia (Northeastern University) and Carla Fabiana Chiasserini (Politecnico di Torino)
DNN Partitioning and Assignment for Distributed Inference in SGX Empowered Edge Cloud, Yuepeng Li (China University of Geosciences, Wuhan, China), Deze Zeng (School of Computer Science, China University of Geosciences, Wuhan, China), Lin Gu (School of Computer Science and Technology, Huazhong University of Science and Technology, China), Song Guo (Hong Kong University of Science and Technology, Hong Kong) and Albert Zomaya (School of Computer Science, The University of Sydney, Australia)
Tangram: High-resolution Video Analytics on Serverless Platform with SLO-aware Batching, Haosong Peng (Beijing Institute of Technology), Yufeng Zhan (Beijing Institute of Technology), Peng Li (The University of Aizu) and Yuanqing Xia (Beijing Institute of Technology)
Mobility-Aware Device Sampling for Statistical Heterogeneity in Hierarchical Federated Learning, Songli Zhang (Shanghai Jiaotong University), Zhenzhe Zheng (Shanghai Jiao Tong University), Qinya Li (Shanghai Jiao Tong University), Fan Wu (Shanghai Jiao Tong University) and Guihai Chen (Shanghai Jiao Tong University)
Dynamic Time-of-use Pricing for Serverless Edge Computing with Generalized Hidden Parameter Markov Decision Processes, Feridun Tütüncüoğlu (KTH Royal Institute of Technology), Ayoub Ben Ameur (Telecom SudParis), György Dán (KTH Royal Institute of Technology), Andrea Araldo (Telecom SudParis) and Tijani Chahed (Telecom SudParis)
Communication-Efficient Training Workload Balancing for Decentralized Multi-Agent Learning, Seyed Mahmoud Sajjadi Mohammadabadi (University of Nevada, Reno), Lei Yang (University of Nevada, Reno), Feng Yan (University of Houston) and Junshan Zhang (University of California Davis, USA)
Accelerating and Securing Federated Learning with Stateless In-network Aggregation at the Edge, Junxu Xia (National University of Defense Technology), Wenfei Wu (Peking University), Lailong Luo (National University of Defense Technology), Geyao Cheng (National University of Defense Technology), Deke Guo (National University of Defense Technology) and Qifeng Nian (Fujian Polytechnic Normal University)
Nona: A Framework for Elastic Stream Provenance, Bastian Havers (Chalmers University of Technology), Marina Paptriantafilou (Chalmers University of Technology) and Vincenzo Gulisano (Chalmers University of Technology)
Edge-Assisted Relevance-Aware Perception Dissemination in Vehicular Networks, Ruiqi Wang (Pennsylvania State University) and Guohong Cao (Pennsylvania State University)
A Performance Analysis Modeling Framework for Extended Reality Applications in Edge-Assisted Wireless Networks, Anik Mallik (The University of North Carolina at Charlotte), Jiang Linda Xie (The University of North Carolina at Charlotte) and Zhu Han (University of Houston)
Dapper: A Lightweight and Extensible Framework for Live Program State Rewriting, Abhishek Bapat (Virginia Tech), Jaidev Shastri (Virginia Tech), Xiaoguang Wang (University of Illinois Chicago), Abilesh Sundarasamy (Virginia Tech) and Binoy Ravindran (Virginia Tech)
HGR: A Hybrid Global Graph-based Recovery Approach for Cloud Storage Systems with Failure and Straggler Nodes, Piao Hu (Shanghai Jiao Tong University), Huangzhen Xue (Shanghai Jiao Tong University), Chentao Wu (Shanghai Jiao Tong University), Minyi Guo (Shanghai Jiao Tong University), Jie Li (Shanghai Jiao Tong University), Xiangyu Chen (Huawei Technologies Co., Ltd., China), Shaoteng Liu (Huawei Technologies Co., Ltd., China), Liyang Zhou (Huawei Technologies Co., Ltd., China) and Shenghong Xie (Shanghai Jiao Tong University)
Ensuring Fairness in Federated Learning Services: Innovative Approaches to Client Selection, Meiying Zhang (University of Memphis), Huan Zhao (University of Memphis), Sheldon Ebron (University of Memphis), Ruitao Xie (Shenzhen University) and Kan Yang (University of Memphis)
On Federated Multi-Armed Bandits for Mobile Social Networks, Kazuya Sakai (Tokyo Metropolitan University), Takeshi Kitamura (Tokyo Metropolitan University), Min-Te Sun (National Central University) and Wei-Shinn Ku (Auburn University)
Mitigating Demographic Bias of Federated Learning Models via Robust-Fair Domain Smoothing: A Domain-Shifting Approach, Huimin Zeng (University of Illinois at Urbana-Champaign), Zhenrui Yue (University of Illinois Urbana-Champaign), Qian Jiang (University of Illinois Urbana-Champaign), Yang Zhang (University of Illinois at Urbana-Champaign), Lanyu Shang (University of Illinois Urbana-Champaign), Ruohan Zong (University of Illinois Urbana-Champaign) and Dong Wang (University of Illinois Urbana-Champaign)
Libra: A Fairness-guaranteed Framework for Semi-asynchronous Federated Learning, Chun Wang (School of CSE, Sun Yat-Sen University, China.), Huawei Huang (School of SSE, Sun Yat-Sen University, China.), Ruixin Li (School of CSE, Sun Yat-Sen University, China.), Jialiang Liu (School of CSE, Sun Yat-Sen University, China.), Ting Cai (School of SCS, Hubei University of Technology, China.) and Zibin Zheng (School of SSE, Sun Yat-Sen University, China.)
Can Federated Learning Clients be Lightweight? A Plug-and-Play Symmetric Conversion Module, Jialiang Liu (School of Computer Science and Engineering, Sun Yat-sen University), Huawei Huang (School of Software Engineering, Sun Yat-sen University), Chun Wang (School of Computer Science and Engineering, Sun Yat-sen University), Ruixin Li (School of Computer Science and Engineering, Sun Yat-sen University), Ting Cai (School of Computer Science, Hubei University of Technology), Qinglin Yang (School of Software Engineering, Sun Yat-sen University) and Zibin Zheng (School of Software Engineering, Sun Yat-sen University)
FedMark: Large-Capacity and Robust Watermarking in Federated Learning, Lan Zhang (University of Science and Technology of China), Chen Tang (University of Science and Technology of China), Huiqi Liu (University of Science and Technology of China), Haikuo Yu (University of Science and Technology of China), Xirong Zhuang (University of Science and Technology of China), Qi Zhao (University of Science and Technology of China), Lei Wang (Ant Group), Wenjing Fang (Ant group) and Xiang-Yang Li (University of Science and Technology of China)
Mitigation of Gradient Inversion Attacks in Federated Learning with Private Adaptive Optimization, Cody Lewis (The University of Newcastle), Vijay Varadharajan (The University of Newcastle), Nasimul Noman (The University of Newcastle), Uday Tupakula (University of New England) and Nan Li (University of Wollongong)
Incentivizing Participation in SplitFed Learning: Convergence Analysis and Model Versioning, Pengchao Han (Guangdong University of Technology), Chao Huang (University of California, Davis), Xingyan Shi (The Chinese University of Hong Kong, Shenzhen), Jianwei Huang (The Chinese University of Hong Kong, Shenzhen) and Xin Liu (University of California, Davis)
Federated SGD with Local Asynchrony, Bapi Chatterjee (IIIT Delhi), Vyacheslav Kungurtsev (Czech Technical University) and Dan Alistarh (IST Austria)
Toward Free-riding Attack on Cross-Silo Federated Learning Through Evolutionary Game, Tianxiang Chen (Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing, Beihang University), Feng Wang (Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing, Beihang University), Wangjie Qiu (Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing, Beihang University), Qinnan Zhang (Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing, Beihang University), Zehui Xiong (Information Systems Technology and Design, 8 Somapah Road, Singapore University of Technology and Design) and Zhiming Zheng (Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing, Beihang University)
Byzantine robust aggregation in federated distillation with adversaries, Wenrui Li (Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University), Hanlin Gu (WeBank AI Lab), Sheng Wan (Department of Computer Science, Hong Kong University of Science and Technology), Zhirong Luan (School of Electrical Engineering, Xi’an University of Technology), Wei Xi (Department of Computer Science, Xi’an Jiaotong University), Lixin Fan (WeBank AI Lab), Qiang Yang (Department of Computer Science, Hong Kong University of Science and Technology) and Badong Chen (Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University)
Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-Supervised Learning, Sijia Chen (University of Toronto), Ningxin Su (University of Toronto) and Baochun Li (University of Toronto)
Tackling System-Induced Bias in Federated Learning: A Pricing-based Incentive Mechanism, Shuo Wang (Department of Computer Science and Engineering, Southern University of Science and Technology), Bing Luo (Data Science Research Center, Duke Kunshan University) and Ming Tang (Department of Computer Science and Engineering, Southern University of Science and Technology)
MLPing: Real-time Proactive Fault Detection and Alarm for Large-scale Distributed IDC Network, Xian Yu (Computer Network Information Center, Chinese Academy of Sciences), Kejiang Ye (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences), Dongbiao He (Sangfor Technologies Inc.), Xiaofan Chen (Sangfor Technologies Inc.), Chengzhong Xu (Faculty of Science and Technology, University of Macau), Jianhui Li (Computer Network Information Center, Chinese Academy of Sciences) and Gaogang Xie (Computer Network Information Center, Chinese Academy of Sciences)
Towards Integrated Energy-Communication-Transportation Hub: A Base-Station-Centric Design in 5G and Beyond, Linfeng Shen (Simon Fraser University; Shenzhen Jiangxing Intelligence Inc.), Guanzhen Wu (Simon Fraser University), Cong Zhang (The University of Hong Kong), Xiaoyi Fan (The Hong Kong University of Science and Technology; Shenzhen Jiangxing Intelligence Inc.) and Jiangchuan Liu (Simon Fraser University)
Dissecting the Applicability of HTTP/3 in Content Delivery Networks, Mengying Zhou (Fudan University), Yang Chen (Fudan University), Shihan Lin (Duke University), Xin Wang (Fudan University), Bingyang Liu (Huawei Technologies Co. Ltd.) and Aaron Ding (Delft University of Technology)
The [Anon.] Architecture: Design and Development Experiences from Gauging and Monitoring the AI Inference Capabilities of Modern Applications, Abdul-Rasheed Ottun (Insitute of Computer Science, University of Tartu), Rasinthe Marasinghe (Insitute of Computer Science, University of Tartu), Toluwani Elemosho (Insitute of Computer Science, University of Tartu), Mohan Liyanage (Institute of Computer Science, University of Tartu, Estonia.), Mohammed Ragab (ragab.mohamed@soton.ac.uk), Prachi Bagave (Delft University of Technology), Marcus Westberg (Delft University of Technology), Mehrdad Asadi (Vrije Universiteit Brussel), Michell Boeger (Fraunhofer Institute for Open Communication Systems), Chamara Sandeepa (University College Dublin), Thulitha Senevirathna (University College Dublin), Bartlomiej Siniarski (University College Dublin), Madhusanka Liyanage (University College Dublin), Vinh La (Montimage), Manh-Dung Nguyen (Montimage), Edgardo Montes de Oca (Montimage), Tessa Oomen (Erasmus University Rotterdam), João Gonçalves (Erasmus University Rotterdam), Ilija Tanasković (Mainflux Labs), Sasa Klopanovic (Mainflux Labs), Nicolas Kourtellis (Telefonica I+D), Claudio Soriente (NECLab), Jason Pridmore (Erasmus University Rotterdam), Drasko Draskovic (Mainflux), Ana Rosa Cavalli (Montimage), Samuel Marchal (VTT Technical Research Centre of Finland Ltd), Shen Wang (University College Dublin), David Solans Noguero (Telefónica Research), Nikolay Tcholtchev (Frauhofer Institute for Open Communication Systems FOKUS), Aaron Ding (Delft University of Technology) and Huber Flores (Institute of Computer Science, University of Tartu, Estonia.)
Enhancing AI-Generated Content Efficiency through Adaptive Multi-Edge Collaboration, Changfu Xu (BNU-HKBU United International College), Jianxiong Guo (Beijing Normal University), Jiandian Zeng (Beijing Normal University), Shengguang Meng (Guangdong Donghua Faster Software Co., LTD), Xiaowen Chu (The Hong Kong University of Science and Technology (Guangzhou)), Jiannong Cao (Hong Kong Polytechnic University) and Tian Wang (Beijing Normal University & BNU-HKBU United International College)
ERS: Faster LiDAR Point Cloud Registration for Connected Vehicles, Yu Zhao (University of Science and Technology of China), Jinrui Zhou (University of Science and Technology of China), Mingjun Xiao (University of Science and Technology of China), Jie Wu (Temple University) and He Sun (University of Science and Technology of China)
Fed-MS: Fault Tolerant Federated Edge Learning with Multiple Byzantine Servers, Senmao Qi (shandong university), Hao Ma (shandong university), Yifei Zou (shandong university), Yuan Yuan (shandong university), Peng Li (University of Aizu) and Dongxiao Yu (shandong university)
BCLB: A Scalable and Cooperative layer-4 Load Balancer for Data Centers, Shu Yang (College of Computer Science and Software Engineering, Shenzhen University), Xinze Wu (College of Computer Science and Software Engineering, Shenzhen University) and Laizhong Cui (College of Computer Science and Software Engineering, Shenzhen University)
OASIS: Offsetting Active Reconstruction Attacks in Federated Learning, Tre Jeter (University of Florida), Truc Nguyen (National Renewable Energy Laboratory), Raed Alharbi (Saudi Electronic University) and My T. Thai (University of Florida)
BB-Align: A Lightweight Pose Recovery Framework for Vehicle-to-Vehicle Cooperative Perception, Lixing Song (Rose-Hulman Institute of Technology), William Valentine (Rose-Hulman Institute of Technology), Qing Yang (University of North Texas), Honggang Wang (Yeshiva University), Hua Fang (University of Massachusetts Dartmouth) and Ye Liu (Macau University of Science and Technology)
Resolve Cross-channel Interference for LoRa, Fu Yu (Beijing University of Posts and Telecommunications), Xiaolong Zheng (Beijing University of Posts and Telecommunications), Yuhao Ma (Beijing University of Posts and Telecommunications), Liang Liu (Beijing University of Posts and Telecommunications) and Huadong Ma (Beijing University of Posts and Telecommunications)
RideGuard: Micro-Mobility Steering Maneuver Prediction with Smartphones, Zengyi Han (Dalian Maritime University), Xuefu Dong (The University of Tokyo), Liqiang Xu (The University of Tokyo), Zhen Zhu (The University of Tokyo), En Wang (Jilin University), Yuuki Nishiyama (The University of Tokyo) and Kaoru Sezaki (The University of Tokyo)
A Battery Lifespan-Aware Protocol for LPWAN, Sezana Fahmida (Wayne State University), Akshar Chavan (The Ohio State University), Venkata Prashant Modekurthy (University of Nevada, Las Vegas), Abusayeed Saifullah (Wayne State University) and Marco Brocanelli (The Ohio State University)
mmHand: 3D Hand Pose Estimation Leveraging mmWave Signals, Hao Kong (Shanghai University), Haoxin Lyu (Shanghai Jiao Tong University), Jiadi Yu (Shanghai Jiao Tong University), Linghe Kong (Shanghai Jiao Tong University), Junlin Yang (Shanghai Jiao Tong University), Yanzhi Ren (University of Electronic Science and Technology of China), Hongbo Liu (University of Electronic Science and Technology of China) and Yi-Chao Chen (Shanghai Jiao Tong University)
GesturePrint: Enabling User Identification for mmWave-based Gesture Recognition Systems, Lilin Xu (Zhejiang University), Keyi Wang (University of California, San Diego), Chaojie Gu (Zhejiang University), Xiuzhen Guo (Zhejiang University), Shibo He (Zhejiang University) and Jiming Chen (Zhejiang University)
CoCFL: A Lightweight Blockchain-based Federated Learning Framework in IoT Context, Jianrong Wang (Tianjin University), Yang Shi (Tianjin University), Dengcheng Hu (Tianjin University), Xiulong Liu (Tianjin University) and Keqiu Li (Tianjin University)
LED Can Backscatter: Multi-Modal based 3D Localization via LED-tag, Shiyuan Ma (State Key Laboratory for Novel Software Technology, Nanjing University), Lei Xie (State Key Laboratory for Novel Software Technology, Nanjing University), Chuyu Wang (State Key Laboratory for Novel Software Technology, Nanjing University), Long Fan (State Key Laboratory for Novel Software Technology, Nanjing University), Jingyi Ning (State Key Laboratory for Novel Software Technology, Nanjing University), Qing Guo (State Key Laboratory for Novel Software Technology, Nanjing University), Baoliu Ye (State Key Laboratory for Novel Software Technology, Nanjing University) and Sanglu Lu (State Key Laboratory for Novel Software Technology, Nanjing University)
Approximation Algorithm for Connected Submodular Function Maximization Problems, Wenzheng Xu (Sichuan University), He Xue (College of Computer Science, Sichuan University, and Sichuan Fire Science and Technology Research Institute of MEM), Jing Li (The Hong Kong Polytechnic University), Weifa Liang (City University of Hong Kong), Zichuan Xu (Dalian University of Technology), Pan Zhou (School of Cyber Science and Engineering, Huazhong University of %Science & Technology, Wuhan, P. R. China), Xiaohua Jia (City University of Hong Kong) and Sajal Das (Department of Computer Science, Missouri %University of Science and Technology, Rolla, USA)
CSS: Built-in Channel State Scrambling for Secure Wi-Fi based Sensing, Xiao Deng (Nanjing University), Dongyu Xia (Nanjing University), Xun Wang (Nanjing University), Shuyu Shi (Nanjing University) and Wei Wang (Nanjing University)
Optimized Live 4K Video Multicast Streaming on Commodity WiGig Devices, Zhaoyuan He (The University of Texas at Austin), Changhan Ge (The University of Texas at Austin), Wangyang Li (The University of Texas at Austin), Lili Qiu (The University of Texas at Austin), Peijie Li (Google) and Ghufran Baig (The University of Texas at Austin)
Leveraging CAVs to Improve Traffic Efficiency: An MARL-based Approach, Weizhen Han (Wuhan University of Technology), Enshu Wang (Wuhan University), Bingyi Liu (Wuhan University of Technology), Zhi Liu (The University of Electro-Communications), Xun Shao (Toyohashi University of Technology), Libing Wu (Wuhan University,) and Jianping Wang (City University of Hong Kong)
Joint AI Task Allocation and Virtual Object Quality Manipulation for Improved MAR App Performance, Niloofar Didar (Wayne State University) and Marco Brocanelli (Ohio State University)
Coreset-sharing based Collaborative Model Training among Peer Vehicles, Han Zheng (Stony Brook University), Mengjing Liu (Stony Brook University), Fan Ye (Stony Brook University) and Yuanyuan Yang (Stony Brook University)
Network Topology Design for Distributed Quantum Computing, Yingling Mao (Stony Brook University), Yu Liu (Stony Brook University), Xiaojun Shang (The University of Texas at Arlington) and Yuanyuan Yang (Stony Brook University)
Counterfactual Reward Estimation for Credit Assignment in Multi-agent Deep Reinforcement Learning over Wireless Video Transmission, Wenhan Yu (Nanyang Technological University), Liangxin Qian (Nanyang Technological University), Terence Chua (Nanyang Technological University) and Jun Zhao (Nanyang Technological University)
EPS Placement and Lightweight Entanglement Routing for Quantum Data Networks, Qiucheng Zhu (University of Science and Technology of China), Yangming Zhao (University of Science and Technology of China), Hongli Xu (University of Science and Technology of China), Liusheng Huang (University of Science and Technology of China) and Chunming Qiao (University at Buffalo)
Adaptive User-Centric Entanglement Routing in Quantum Data Networks, Lei Wang (University of Miami), Jieming Bian (University of Miami) and Jie Xu (University of Miami)
Dynamic Routing and Post-processing Strategies for Hybrid Quantum Key Distribution Networks, Omar Amer (Global Technology Applied Research, JPMorgan Chase Bank), Walter Krawec (University of Connecticut), Zakir Hossain (University of Connecticut), Victoria Manfredi (Wesleyan University) and Bing Wang (University of Connecticut)
Quantum Network Routing based on Surface Code Error Correction, Tianjie Hu (William & Mary), Jindi Wu (William & Mary) and Qun Li (William & Mary)
GameTE: A Game-Theoretic Distributed Traffic Engineering in Trustless Multi-Domain SDN, Yangyang Liu (Nanjing University), Jingyu Hua (Nanjing University), Yuan Zhang (Nanjing University) and Sheng Zhong (Nanjing University)
HiddenTor: Toward a User-Centric and Private Query System for Tor BridgeDB, Yichen Zang (City University of Hong Kong), Chengjun Cai (City University of Hong Kong (Dongguan)), Wentao Dong (City University of Hong Kong), Lei Xu (City University of Hong Kong) and Cong Wang (City University of Hong Kong)
Physical Layer Secret Key Generation Leveraging Proactive Pilot Contamination, Limin Liu (University of Electronic Science and Technology of China), Yicong Du (University of Electronic Science and Technology of China), Ziyu Shao (University of Electronic Science and Technology of China), Hongbo Liu (University of Electronic Science and Technology of China), Yanzhi Ren (University of Electronic Science and Technology of China) and Haomiao Yang (University of Electronic Science and Technology of China)
EarPass: Unlock When Wearing Your Earphones, Yanze Xie (Northwestern Polytechnical University), Mengzhen Gao (Northwestern Polytechnical University), Xiaoning Liu (Royal Melbourne Institute of Technology), Shuo Huang (Monash University), Helei Cui (Northwestern Polytechnical University), Zhiwen Yu (Northwestern Polytechnical University) and Bin Guo (Northwestern Polytechnical University)
VehiGAN: Generative Adversarial Networks for Adversarially Robust V2X Misbehavior Detection Systems, Md Hasan Shahriar (Virginia Tech), Mohammad Raashid Ansari (Qualcomm Technologies Inc.), Jean-Philippe Monteuuis (Qualcomm Technologies Inc.), Cong Chen (Qualcomm Technologies Inc.), Jonathan Petit (Qualcomm Technologies Inc.), Y. Thoma Hou (Virginia Tech) and Wenjing Lou (Virginia Tech)
PrivRE: Regular Expression Matching for Encrypted Packet Inspection, Xiaoyang Hou (Zhejiang University), Jian Liu (Zhejiang University), Tu Tianyu (Zhejiang University), Rui Zhang (Zhejiang University) and Kui Ren (Zhejiang University)
SPOT: Structure Patching and Overlap Tweaking for Effective Pipelining in Privacy-Preserving MLaaS with Tiny Clients, Xiangrui Xu (Old Dominion University), Qiao Zhang (Chongqing University), Rui Ning (Old Dominion University), Chunsheng Xin (Old Dominion University) and Hongyi Wu (University of Arizona)
OpenAuth: Human Body-based User Authentication using mmWave Signals in Open-World Scenarios, Junlin Yang (Shanghai Jiao Tong University), Jiadi Yu (Shanghai Jiao Tong University), Linghe Kong (Shanghai Jiao Tong University), Yanmin Zhu (Shanghai Jiao Tong University) and Hong-Ning Dai (Hong Kong Baptist University)
WaveKey: Secure Mobile Ad Hoc Access to RFID-Protected Systems, Dianiqi Han (University of Texas at Arlington), Ang Li (The University of Michigan-Dearborn), Jiawei Li (Arizona State University), Yan Zhang (The University of Akron), Tao Li (Purdue University) and Yanchao Zhang (Arizona State University)
Dual Study of Canvas Fingerprinting based Authentication: A Novel Spoofing Attack and the Countermeasure, Zengrui Liu (Texas A&M University) and Nitesh Saxena (Texas A&M University)
PIPO: Privacy-Preserving Convolutional Neural Network Inference with Plaintext Operations, Tian Zhou (University of Massachusetts Amherst) and Lixin Gao (University of Massachusetts Amherst)
HammerHead: Leader Reputation for Dynamic Scheduling, Giorgos Tsimos (MystenLabs, University of Maryland), Anastasios Kichidis (MystenLabs), Alberto Sonnino (MystenLabs, University College London) and Lefteris Kokkoris-Kogias (MystenLabs, IST Austria)
WIRE:Web3 Integrated Reputation Engine, Suraj Shamsundar Jain (Texas A&M University), Huancheng Zhou (Texas A&M University) and Guofei Gu (Texas A&M University)
Poster, Demo, and PhD Symposium Submissions
Distributed and Efficient Request Scheduling in Collaborative Edge Computing, Yuzhu Liang (School of Artificial Intelligence), Guangxue Zhang (Beijing Normal University) and Tian Wang (Beijing Normal University)
Augment Decentralized Online Convex Optimization with Arbitrarily Bad Machine-Learned Predictions, Dacheng Wen (The University of Hong Kong), Yupeng Li (Hong Kong Baptist University) and Francis C.M. Lau (The University of Hong Kong, Hong Kong)
Unveiling DRAM Failures across Different CPU Architectures in Large-Scale Datacenters, Qiao Yu (Technical University of Berlin and Huawei Munich Research Center), Jorge Cardoso (Huawei Munich Research Center and CISUC, University of Coimbra, Portugal) and Odej Kao (Technical University of Berlin)
Digital Twin Assisted Cross-Layer Resource Scheduling in ORAN System, Yongguang Lu (Sun Yat-sen University) and Wen Wu (Peng Cheng Laboratory)
Efficient Asynchronous Convex Byzantine Agreement using Relaxed Validity, Akhil Bandarupalli (Purdue University), Saurabh Bagchi (Purdue University) and Aniket Kate (Purdue University and Supra Research)
Dynamic Mapping of Mixed-Criticality Applications onto a Mixed-Criticality Runtime System with Probabilistic Guarantees, Namcheol Lee (Department of Electrical and Computer Engineering, Seoul National University), Seongsoo Hong (Department of Electrical and Computer Engineering, Seoul National University) and Saehwa Kim (Department of Information and Communications Engineering, Hankuk-University of Foreign Studies)
Privacy-preserving Finger Movement Tracking Using Acoustic Sensing Enhanced by Smartphone Case Mini-structures, Zhengkun Ye (Temple University), Yan Wang (Temple University) and Yingying Chen (Rutgers University)
Partitioning Deep Neural Networks for Optimally Pipelined Inference on Heterogeneous IoT Devices with Low Latency Networks, Woobean Seo (Department of Electrical and Computer Engineering, Seoul National University), Saehwa Kim (Department of Information and Communications Engineering, Hankuk-University of Foreign Studies) and Seongsoo Hong (Department of Electrical and Computer Engineering, Seoul National University)
Palm-based User Authentication through mmWave, Yucheng Xie (Indiana University Purdue University Indianapolis), Tianfang Zhang (Rutgers University), Xiaonan Guo (George Mason University), Yan Wang (Temple University), Jerry Cheng (New York Institute of Technology), Yingying Chen (Rutgers University), Yi Wei (George Mason University) and Yuan Ge (George Mason University)
Enhancing Data Processing Throughput in IoT-Edge-Cloud Systems using Optimized Task Placement, Vishal Choudhary (Singapore University of Technology and Design), Peng Wang (Singapore University of Technology and Design), Suman Sourav (Singapore University of Technology and Design) and Binbin Chen (Singapore University of Technology and Design)
An Enhancing VBF Protocol for AUVs: Integrating Uncertainty Management and Energy Efficiency, Shuai Dong (The University of Alabama), Xiaoyan Hong (The University of Alabama) and Bineet Ghosh (The University of Alabama)
An Ad-hoc Communication Based Distributed Particle Swarm Optimization Scheme for Cooperative AUVs Underwater Search Task, Beichen Yang (The University of Alabama) and Xiaoyan Hong (The University of Alabama)
Demo: Blockchain Shield – Advanced Threat Detection & Forensic Analysis Platform, Ningbo Zhu (University of Alberta), Jinghan Sun (The Chinese University of Hong Kong), Shuyi Zhang (White Matrix Inc.), Xinyao Sun (University of Alberta) and Irene Cheng (University of Alberta)
SCDRL: Scalable and Customized Distributed Reinforcement Learning System, Chuxiong Sun (Institute of Software, Chinese Academy of Sciences), Wenwen Qiang (Institute of Software, Chinese Academy of Sciences) and Jiangmeng Li (Institute of Software, Chinese Academy of Sciences)
Metamorphosis: Consensus Protocol for Distributed Message Brokers, Dmitry Orlov (Yandex School of Data Analysis) and Anton Rybianov (MIPT University)
Demo: Specy Network – Trusted Multichain Automation With Verifiable Specifications, Shaojie Liu (Oxford-Hainan Blockchain Research Institute), Hongbo Zhao (Oxford-Hainan Blockchain Research Institute) and Han Liu (Oxford-Hainan Blockchain Research Institute)
Highlighting the Limits of Federated Learning in Intrusion Detection, Léo Lavaur (IMT Atlantique / IRISA / Cyber CNI), Yann Busnel (IMT Nord Europe / IRISA) and Fabien Autrel (IMT Atlantique / IRISA)
Timed Data Release using Smart Contracts, Jingzhe Wang (University of Pittsburgh), Haocheng Wang (University of Pittsburgh), Chao Li (Beijing Jiaotong University) and Balaji Palanisamy (University of Pittsburgh)
Service Polymorphism: Enhancing Web Service Performance by Serving Clients Dissimilarly, Zhengquan Li (University of Michigan – Dearborn) and Zheng Song (University of Michigan – Dearborn)
Optimal Variance-Reduced Client Sampling for Multiple Model Federated Learning, Haoran Zhang (Carnegie Mellon University), Zekai Li (Carnegie Mellon University), Zejun Gong (Carnegie Mellon University), Marie Siew (Singapore University of Technology and Design), Carlee Joe-Wong (Carnegie Mellon University) and Rachid El-Azouzi (Carnegie Mellon University and University of Avignon)
URCD: Unsupervised Root Cause Detection in Microservices Architecture with HGAN, Harsh Borse (IIT Kharagpur), Utkalika Satapathy (IIT Kharagpur), Mainack Mondal (IIT Kharagpur) and Bivas Mitra (IIT Kharagpur)
SPATIAL: Practical AI Trustworthiness with Human Oversight, Abdul-Rasheed Ottun (Institute of Computer Science, University of Tartu, Estonia.), Rasinthe Marasinghe (Institute of Computer Science, University of Tartu, Estonia.), Toluwani Elemosho (Institute of Computer Science, University of Tartu, Estonia.), Mohan Liyanage (Institute of Computer Science, University of Tartu, Estonia.), Ashfaq Hussain Ahmed (Institute of Computer Science, University of Tartu, Estonia.), Michell Boerger (Fraunhofer Institute for Open Communication Systems), Chamara Sandeepa (University College Dublin), Thulitha Senevirathna (University College Dublin), Vinh Hoa La (Montimage), Mahn-Dung Nguyen (Montimage), Claudio Soriente (NECLab), Samuel Marchal (VTT Technical Research Centre of Finland Ltd), Shen Wang (University College Dublin), David Solans Noguero (Telefónica Research), Nikolay Tcholtchev (Frauhofer Institute for Open Communication Systems FOKUS / RheinMain University of Applied Sciences), Aaron Yi Ding (Delft University of Technology) and Huber Flores (Institute of Computer Science, University of Tartu, Estonia.)
Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning, Xueqing Zhang (Fordham University), Junkai Zhang (Columbia University), Ka-Ho Chow (the University of Hong Kong), Juntao Chen (Fordham University), Ying Mao (Fordham University), Mohamed Rahouti (Fordham University), Xiang Li (Fordham University), Yuchen Liu (North Carolina State University) and Wenqi Wei (Fordham University)
Orchflow: Orchestration and Management of IoT-Centric Distributed Workflows, Sehrish Amjad (Lahore University of Management Sciences, Lahore, Pakistan), Ahmed Akhtar (Lahore University of Management Sciences, Lahore, Pakistan), Muhammad Ali (Lahore University of Management Sciences, Lahore, Pakistan), Ayesha Afzal (Air University, Islamabad, Pakistan), Basit Shafiq (Lahore University of Management Sciences, Lahore, Pakistan), Jaideep Vaidya (Rutgers University, Newark, NJ 07102) and Shafay Shamail (Lahore University of Management Sciences, Lahore, Pakistan)
Load Balancing for In-Memory Key-Value Data Stores, Ainhoa Azqueta (Universidad Politecnica de MAdrid) and Marta Patino (Universidad Politécnica de Madrid)
Benchmarking of Code Generative LLMs, Mirza Masfiqur Rahman (Cisco Research), Ashish Kundu (Cisco Research) and Elisa Bertino (Purdue University)
CrystalBall: Attack Graphs Using Large Language Models and RAGs, Renascence Tarafder Prapty (University of California Irvine), Ashish Kundu (Cisco Research) and Arun Iyengar (Cisco Research)
Towards Rational Consensus in Honest Majority, Varul Srivastava (International Institute of Information Technology, Hyderabad) and Sujit Gujar (International Institute of Information Technology, Hyderabad)
Selection of Optimal Neural Model using Spiking Neural Network for Edge Computing, Sanaullah (University of Applied Sciences and Arts, Bielefeld), Kaushik Roy (North Carolina AT State University), Ulrich Rückert (Bielefeld University) and Thorsten Jungeblut (University of Applied Sciences and Arts, Bielefeld)
ViEdge: An Edge-based Platform for Video Analytics Applications in Smart Estates, Vishal Choudhary (Singapore University of Technology and Design) and Hock Beng Lim (Singapore University of Technology and Design)
Exploring Explainability Techniques for Large Language Model Classification Predictions, Sriya Ayachitula (Ardsley School)
Secure Data Sharing with Decentralised Data Ring Fencing, Aditya Nangia (Indraprastha Institute for Information Technology Delhi), Saksham Bhupal (Indraprastha Institute for Information Technology Delhi), Kushagra Mittal (Indraprastha Institute for Information Technology Delhi), Mukesh Mohania (Indraprastha Institute for Information Technology Delhi) and Ashish Kundu (Cisco Research)