| 2024 | 44th IEEE International Conference on Distributed Computing Systems, ICDCS 2024, Jersey City, NJ, USA, July 23-26, 2024 |
| 2024 | A Battery Lifespan-Aware Protocol for LPWAN. Sezana Fahmida, Akshar Shravan Chavan, Venkata Prashant Modekurthy, Abusayeed Saifullah, Marco Brocanelli |
| 2024 | A Lock-free Binary Trie. Jeremy Ko |
| 2024 | A Performance Analysis Modeling Framework for Extended Reality Applications in Edge-Assisted Wireless Networks. Anik Mallik, Jiang (Linda) Xie, Zhu Ran |
| 2024 | AcBF: A Revocable Blockchain-Based Identity Management Enabling Low-Latency Authentication. Jianan Hong, Jiayue Zhou, Yuqing Li, Jia Cheng, Cunqing Hua |
| 2024 | Accelerating and Securing Federated Learning with Stateless In-Network Aggregation at the Edge. Junxu Xia, Wenfei Wu, Lailong Luo, Geyao Cheng, Deke Guo, Qifeng Nian |
| 2024 | AdapCC: Making Collective Communication in Distributed Machine Learning Adaptive. Xiaoyang Zhao, Zhe Zhang, Chuan Wu |
| 2024 | Adaptive User-Centric Entanglement Routing in Quantum Data Networks. Lei Wang, Jieming Bian, Jie Xu |
| 2024 | An Ad-Hoc Communication Based Distributed Particle Swarm Optimization Scheme for Cooperative AUVs Underwater Search Task. Beichen Yang, Xiaoyan Hong |
| 2024 | An Enhancing VBF Protocol for AUVs: Integrating Uncertainty Management and Energy Efficiency. Shuai Dong, Xiaoyan Hong, Bineet Ghosh |
| 2024 | An ML-Accelerated Framework for Large-Scale Constrained Traffic Engineering. Cheng Gu, Xin Song, Ben Hok Ng, Qiao Xiang, Zehua Guo, Geng Li |
| 2024 | Anole: Adapting Diverse Compressed Models for Cross-Scene Prediction on Mobile Devices. Yunzhe Li, Hongzi Zhu, Zhuohong Deng, Yunlong Cheng, Liang Zhang, Shan Chang, Minyi Guo |
| 2024 | Approximation Algorithm for Connected Submodular Function Maximization Problems. Wenzheng Xu, He Xue, Jing Li, Weifa Liang, Zichuan Xu, Pan Zhou, Xiaohua Jia, Sajal K. Das |
| 2024 | Aquilas: Adaptive QoS-Oriented Multipath Packet Scheduler with Hierarchical Intelligence for QUIC. Congxi Song, Biao Han, Ruidong Li, Xueqiang Han, Cong Liu, Jinshu Su |
| 2024 | Augment Decentralized Online Convex Optimization with Arbitrarily Bad Machine-Learned Predictions. Dacheng Wen, Yupeng Li, Francis C. M. Lau |
| 2024 | BB-Align: A Lightweight Pose Recovery Framework for Vehicle-to-Vehicle Cooperative Perception. Lixing Song, William Valentine, Qing Yang, Honggang Wang, Hua Fang, Ye Liu |
| 2024 | BCLB: A Scalable and Cooperative Layer-4 Load Balancer for Data Centers. Shu Yang, Xinze Wu, Laizhong Cui |
| 2024 | Bridging the Data Gap in Federated Preference Learning with AIGC. Chenyu Wang, Zhi Zhou, Xiaoxi Zhang, Xu Chen |
| 2024 | Byzantine Robust Aggregation in Federated Distillation with Adversaries. Wenrui Li, Hanlin Gu, Sheng Wan, Zhirong Luan, Wei Xi, Lixin Fan, Qiang Yang, Badong Chen |
| 2024 | CORE: Transaction Commit-Controlled Release of Private Data Over Blockchains. Shan Wang, Ming Yang, Jiannong Cao, Zhen Ling, Qiang Tang, Xinwen Fu |
| 2024 | CSS: Built-In Channel State Scrambling for Secure Wi-Fi Based Sensing. Xiao Deng, Dongyu Xia, Xun Wang, Shuyu Shi, Wei Wang |
| 2024 | Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-Supervised Learning. Sijia Chen, Ningxin Su, Baochun Li |
| 2024 | Can Federated Learning Clients be Lightweight? A Plug-and-Play Symmetric Conversion Module. Jialiang Liu, Huawei Huang, Chun Wang, Ruixin Li, Ting Car, Qinglin Yang, Zibin Zheng |
| 2024 | CoCFL: A Lightweight Blockchain-based Federated Learning Framework in IoT Context. Jianrong Wang, Yang Shi, Dengcheng Hu, Keqiu Li, Xiulong Liu |
| 2024 | Communication-Efficient Training Workload Balancing for Decentralized Multi-Agent Learning. Seyed Mahmoud Sajjadi Mohammadabadi, Lei Yang, Feng Yan, Junshan Zhang |
| 2024 | Coreset-sharing based Collaborative Model Training among Peer Vehicles. Han Zheng, Mengjing Liu, Fan Ye, Yuanyuan Yang |
| 2024 | Counterfactual Reward Estimation for Credit Assignment in Multi-agent Deep Reinforcement Learning over Wireless Video Transmission. Wenhan Yu, Liangxin Qian, Terence Jie Chua, Jun Zhao |
| 2024 | CubeChain: Generalized Query Framework for Intra- and Cross-Chain Scenarios. Haochen Ren, Xiulong Liu, Hao Xu, Chenyu Zhang, Keqiu Li |
| 2024 | D2T: Dynamic Dual Threshold Policy of Shared-Memory in Data Center Switches. Jiawei Huang, Hui Li, Zhaoyi Li, Zihao Chen, Jingling Liu, Jing Shao, Wenlu Zhang, Yijun Li, Sitan Li, Shengwen Zhou, Ping Zhong, Jianxin Wang, Wanchun Jiang, Yong Cui |
| 2024 | DNN Partitioning and Assignment for Distributed Inference in SGX Empowered Edge Cloud. Yuepeng Li, Deze Zeng, Lin Gut, Song Guo, Albert Y. Zomaya |
| 2024 | Dapper: A Lightweight and Extensible Framework for Live Program State Rewriting. Abhishek Bapat, Jaidev Shastri, Xiaoguang Wang, Abilesh Sundarasamy, Binoy Ravindran |
| 2024 | Debuglet: Programmable and Verifiable Inter-Domain Network Telemetry. Seyedali Tabaeiaghdaei, Filippo Costa, Jonghoon Kwon, Patrick Bamert, Yih-Chun Hu, Adrian Perrig |
| 2024 | Demo: Blockchain Shield - Advanced Threat Detection & Forensic Analysis Platform. Ningbo Zhu, Jinghan Sun, Shuyi Zhang, Xinyao Sun, Irene Cheng |
| 2024 | Demo: Highlighting the Limits of Federated Learning in Intrusion Detection. Léo Lavaur, Yann Busnel, Fabien Autrel |
| 2024 | Demo: Metamorphosis - A Consensus Protocol for Distributed Message Brokers. Dmitry Orlov, Anton Rybianov |
| 2024 | Demo: Orchflow: Orchestration and Management of IoT-Centric Distributed Workflows. Sehrish Amjad, Ahmed Akhtar, Muhammad Ali, Basit Shafiq, Shafay Shamail, Ayesha Afzal, Jaideep Vaidya |
| 2024 | Demo: Specy Network - Trusted Multichain Automation with Verifiable Specifications. Shaojie Liu, Hongbo Zhao, Han Liu |
| 2024 | Demo: Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning. Xueqing Zhang, Junkai Zhang, Ka-Ho Chow, Juntao Chen, Ying Mao, Mohamed Rahouti, Xiang Li, Yuchen Liu, Wenqi Wei |
| 2024 | Demo:SCDRL: Scalable and Customized Distributed Reinforcement Learning System. Chuxiong Sun, Wenwen Qiang, Jiangmeng Li |
| 2024 | Digital Twin Assisted Cross-Layer Resource Scheduling in ORAN System. Yongguang Lu, Wen Wu |
| 2024 | Dissecting the Applicability of HTTP/3 in Content Delivery Networks. Mengying Zhou, Yang Chen, Shihan Lin, Xin Wang, Bingyang Liu, Aaron Yi Ding |
| 2024 | Distributed Pooled Data Intrusion Detection: Lessons Learned from Quantitative Group Testing. Max Hahn-Klimroth, Dominik Kaaser, Malin Rau |
| 2024 | Distributed and Efficient Request Scheduling in Collaborative Edge Computing. Yuzhu Liang, Fengyi Huang, Yaxin Mei, Guangxue Zhang, Jiandian Zeng, Tian Wang |
| 2024 | Dual Study of Canvas Fingerprinting Based Authentication: A Novel Spoofing Attack and the Countermeasure. Zengrui Liu, Nitesh Saxena |
| 2024 | Dynamic Mapping of Mixed-Criticality Applications onto a Mixed-Criticality Runtime System with Probabilistic Guarantees. Namcheol Lee, Seongsoo Hong, Saehwa Kim |
| 2024 | Dynamic Routing and Post-Processing Strategies for Hybrid Quantum Key Distribution Networks. Omar Amer, Walter O. Krawec, Md. Zakir Hossain, Victoria Manfredi, Bing Wang |
| 2024 | Dynamic Time-of-Use Pricing for Serverless Edge Computing with Generalized Hidden Parameter Markov Decision Processes. Feridun Tütüncüoglu, Ayoub Ben-Ameur, György Dán, Andrea Araldo, Tijani Chahed |
| 2024 | EPS Placement and Lightweight Entanglement Routing for Quantum Data Networks. Qiucheng Zhu, Yangming Zhao, Hongli Xu, Liusheng Huang, Chunming Qiao |
| 2024 | ERS: Faster LiDAR Point Cloud Registration for Connected Vehicles. Yu Zhao, Jinrui Zhou, Mingjun Xiao, Jie Wu, He Sun |
| 2024 | EarPass: Unlock When Wearing Your Earphones. Yanze Xie, Mengzhen Gao, Xiaoning Liu, Shuo Huana, Helei Cui, Zhiwen Yu, Bin Guo |
| 2024 | EdgStr: Automating Client-Cloud to Client-Edge-Cloud Transformation. Kijin An, Eli Tilevich |
| 2024 | Edge Cache on WiFi Access Points: Millisecond-Level App Latency Almost for Free. Zhengquan Li, Summit Shrestha, Zheng Song, Eli Tilevich |
| 2024 | Edge-Assisted Relevance-Aware Perception Dissemination in Vehicular Networks. Ruiqi Wang, Guohong Cao |
| 2024 | EdgeVPR: Transformer-Based Real-Time Video Person Re-Identification at the Edge. Meng Sun, Ju Ren, Yaoxue Zhang |
| 2024 | Efficient Pretraining and Finetuning of Quantized LLMs with Low-Rank Structure. Xiao-Yang Liu, Jie Zhang, Guoxuan Wang, Weiqin Tong, Anwar Walid |
| 2024 | Enabling High-Performance EOV Blockchains via Transaction Ordering Exploration. Mei Yu, Yihan Zhao, Jianrong Wang, Dengcheng Hu, Xiulong Liu, Qi Li, Keqiu Li |
| 2024 | Enhancing AI-Generated Content Efficiency Through Adaptive Multi-Edge Collaboration. Changfu Xu, Jianxiong Guo, Jiandian Zeng, Shengguang Meng, Xiaowen Chu, Jiannong Cao, Tian Wang |
| 2024 | Enhancing Data Processing Throughput in IoT-Edge-Cloud Systems Using Optimized Task Placement. Vishal Choudhary, Peng Wang, Suman Sourav, Binbin Chen |
| 2024 | Ensuring Fairness in Federated Learning Services: Innovative Approaches to Client Selection, Scheduling, and Rewards. Meiying Zhang, Huan Zhao, Sheldon C. Ebron Jr., Ruitao Xie, Kan Yang |
| 2024 | FARM: Comprehensive Data Center Network Monitoring and Management. Jérôme Graf, Pavel Chuprikov, Patrick Eugster, Patrick Jahnke |
| 2024 | Fault-tolerant Consensus in Anonymous Dynamic Network. Qinzi Zhang, Lewis Tseng |
| 2024 | Fed-MS: Fault Tolerant Federated Edge Learning with Multiple Byzantine Servers. Senmao Qi, Hao Ma, Yifei Zou, Yuan Yuan, Peng Li, Dongxiao Yu |
| 2024 | FedMark: Large-Capacity and Robust Watermarking in Federated Learning. Lan Zhang, Chen Tang, Huiqi Liu, Haikuo Yu, Xirong Zhuang, Qi Zhao, Lei Wang, Wenjing Fang, Xiang-Yang Li |
| 2024 | FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications. Grant Wilkins, Sheng Di, Jon C. Calhoun, Zilinghan Li, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello |
| 2024 | Federated SGD with Local Asynchrony. Bapi Chatterjee, Vyacheslav Kungurtsev, Dan Alistarh |
| 2024 | Fine-Grained Service Lifetime Optimization for Energy-Constrained Edge-Edge Collaboration. Haodong Zou, Jianxiong Guo, Jiandian Zeng, Yupeng Li, Jiannong Cao, Tian Wang |
| 2024 | GameTE: A Game-Theoretic Distributed Traffic Engineering in Trustless Multi-Domain SDN. Yangyang Liu, Jingyu Hua, Yuan Zhang, Sheng Zhong |
| 2024 | GesturePrint: Enabling User Identification for mmWave-Based Gesture Recognition Systems. Lilin Xu, Keyi Wang, Chaojie Gu, Xiuzhen Guo, Shibo He, Jiming Chen |
| 2024 | Group-Centric Scheduling for Industrial Edge Computing Networks with Incomplete Information. Tongxin Zhu, Ouming Zou, Xiaolin Fang, Junzhou Luo, Yingshu Li, Zhipeng Cai |
| 2024 | HGR: A Hybrid Global Graph-Based Recovery Approach for Cloud Storage Systems with Failure and Straggler Nodes. Piao Hu, Huangzhen Xue, Chentao Wu, Minyi Guo, Jie Li, Xiangyu Chen, Shaoteng Liu, Liyang Zhou, Shenghong Xie |
| 2024 | Hammer: A General Blockchain Evaluation Framework. Gang Wang, Yanfeng Zhang, Chenhao Ying, Xiaohua Li, Ge Yu |
| 2024 | HammerHead: Leader Reputation for Dynamic Scheduling. Giorgos Tsimos, Anastasios Kichidis, Alberto Sonnino, Lefteris Kokoris-Kogias |
| 2024 | HardWhale: A Hardware-Isolated Network Security Enforcement System for Cloud Environments. Myoungsung You, Jaehyun Nam, Hyunmin Seo, Minjae Seo, Jaehan Kim, Dongmin Choi, Seungwon Shin |
| 2024 | HiddenTor: Toward a User-Centric and Private Query System for Tor BridgeDB. Yichen Zang, Chengjun Cai, Wentao Dong, Lei Xu, Cong Wang |
| 2024 | Incentivizing Participation in SplitFed Learning: Convergence Analysis and Model Versioning. Pengchao Han, Chao Huang, Xingyan Shi, Jianwei Huang, Xin Liu |
| 2024 | Interleaved Function Stream Execution Model for Cache-Aware High-Speed Stateful Packet Processing. Ziyan Wu, Yang Zhang, Feng Tian, Minjun Wu, Antonia Zhai, Zhi-Li Zhang |
| 2024 | Joint AI Task Allocation and Virtual Object Quality Manipulation for Improved MAR App Performance. Niloofar Didar, Marco Brocanelli |
| 2024 | Knowledge Connectivity Requirements for Solving BFT Consensus with Unknown Participants and Fault Threshold. Hasan Heydari, Robin Vassantlal, Alysson Bessani |
| 2024 | LED Can Backscatter: Multi-Modal Based 3D Localization via LED-Tag. Shiyuan Ma, Lei Xie, Chuyu Wang, Long Fan, Jingyi Ning, Qing Guo, Baoliu Ye, Sanglu Lu |
| 2024 | Large-Scale Causal Data Replication for Stateful Edge Applications. Pedro Fouto, Nuno M. Preguiça, João Leitão |
| 2024 | Latency-Guaranteed Co-Location of Inference and Training for Reducing Data Center Expenses. Guoyu Chen, Srinivasan Subramaniyan, Xiaorui Wang |
| 2024 | Learning Minimum Linear Arrangement of Cliques and Lines. Julien Dallot, Maciej Pacut, Marcin Bienkowski, Darya Melnyk, Stefan Schmid |
| 2024 | Learning from the History: Accurately and Efficiently Aggregating Geospatial Data Under Local Differential Privacy. Mengyuan Wang, Hongbo Jiang, Liang Hu, Jie Li, Peng Sun, Jiangchuan Liu |
| 2024 | Leveraging CAVs to Improve Traffic Efficiency: An MARL-Based Approach. Weizhen Han, Enshu Wang, Bingyi Liu, Zhi Liu, Xun Shao, Libing Wu, Jianping Wang |
| 2024 | Libra: A Fairness-Guaranteed Framework for Semi-Asynchronous Federated Learning. Chun Wang, Huawei Huang, Ruixin Li, Jialiang Liu, Ting Cai, Zibin Zheng |
| 2024 | LinuxFP: Transparently Accelerating Linux Networking. Marcelo Abranches, Erika Hunhoff, Rohan Eswara, Oliver Michel, Eric Keller |
| 2024 | MLPing: Real-Time Proactive Fault Detection and Alarm for Large-Scale Distributed IDC Network. Xian Yu, Kejiang Ye, Dongbiao He, Xianfan Chen, Chengzhong Xu, Jianhui Li, Gaogang Xie |
| 2024 | Mega: More Efficient Graph Attention for GNNs. Weishu Deng, Jia Rao |
| 2024 | Mitigating Demographic Bias of Federated Learning Models via Robust-Fair Domain Smoothing: A Domain-Shifting Approach. Huimin Zeng, Zhenrui Yue, Qian Jiang, Yang Zhang, Lanyu Shang, Ruohan Zong, Dong Wang |
| 2024 | Mitigation of Gradient Inversion Attacks in Federated Learning with Private Adaptive Optimization. Cody Lewis, Vijay Varadharajan, Nasimul Noman, Udaya Kiran Tupakula, Nan Li |
| 2024 | Mobility-Aware Device Sampling for Statistical Heterogeneity in Hierarchical Federated Learning. Songli Zhang, Zhenzhe Zheng, Qinya Li, Fan Wu, Guihai Chen |
| 2024 | MuSAC: Mutualistic Sensing and Communication for Mobile Crowdsensing. Sijie Ji, Lixiang Lian, Yuanqing Zheng, Chenshu Wu |
| 2024 | Multi-User Entanglement Routing Design over Quantum Internets. Yiming Zeng, Jiarui Zhang, Xiaojun Shang, Ji Liu, Zhenhua Liu, Yuanyuan Yang |
| 2024 | NPV: Fast Network Policy Verification for Cloud-Native Networking. Shunbin Dong, Yumin Xie, Jin Zhao, Kun Qiu |
| 2024 | Network Topology Design for Distributed Quantum Computing. Yingling Mao, Yu Liu, Xiaojun Shang, Yuanyuan Yang |
| 2024 | Nona: A Framework for Elastic Stream Provenance. Bastian Havers, Marina Papatriantafilou, Vincenzo Gulisano |
| 2024 | OASIS: Offsetting Active Reconstruction Attacks in Federated Learning. Tre' R. Jeter, Truc D. T. Nguyen, Raed Alharbi, My T. Thai |
| 2024 | OffloaDNN: Shaping DNNs for Scalable Offloading of Computer Vision Tasks at the Edge. Corrado Puligheddu, Nancy Varshney, Tanzil Bin Hassan, Jonathan D. Ashdown, Francesco Restuccia, Carla-Fabiana Chiasserini |
| 2024 | On Federated Multi-Armed Bandits for Mobile Social Networks. Kazuya Sakai, Takeshi Kitamura, Min-Te Sun, Wei-Shinn Ku |
| 2024 | OpenAuth: Human Body-Based User Authentication Using mmWave Signals in Open-World Scenarios. Junlin Yang, Jiadi Yu, Linghe Kong, Yanmin Zhu, Hong-Ning Dai |
| 2024 | Optimal Wide Stripe Generation in Locally Repairable Codes via Staged Stripe Merging. Si Wu, Guantian Lin, Patrick P. C. Lee, Cheng Li, Yinlong Xu |
| 2024 | Optimized Live 4K Video Multicast Streaming on Commodity WiGig Devices. Zhaoyuan He, Changhan Ge, WangYang Li, Lili Qiu, Peijie Li, Ghufran Baig |
| 2024 | Orbit: A Dynamic Account Allocation Mechanism in Sharding Blockchain System. Xin Wang, Bo Li, Linpeng Jia, Yi Sun |
| 2024 | P4ce: Consensus over RDMA at Line Speed. Rémi Dulong, Nathan Felber, Pascal Felber, Gilles Hopin, Baptiste Lepers, Valerio Schiavoni, Gaël Thomas, Sébastien Vaucher |
| 2024 | PIPO: Privacy-Preserving Convolutional Neural Network Inference with Plaintext Operations. Tian Zhou, Lixin Gao |
| 2024 | Palm-Based User Authentication Through mmWave. Yucheng Xie, Tianfang Zhang, Xiaonan Guo, Yan Wang, Jerry Cheng, Yingying (Jennifer) Chen, Yi Wei, Yuan Ge |
| 2024 | Partition Detection in Byzantine Networks. Yérom-David Bromberg, Jérémie Decouchant, Manon Sourisseau, François Taïani |
| 2024 | Partitioning Deep Neural Networks for Optimally Pipelined Inference on Heterogeneous IoT Devices with Low Latency Networks. Woobean Seo, Saehwa Kim, Seongsoo Hong |
| 2024 | Physical Layer Secret Key Generation Leveraging Proactive Pilot Contamination. Limin Liu, Hongbo Liu, Yicong Du, Ziyu Shao, Haomiao Yang, Yanzhi Ren |
| 2024 | Portus: Efficient DNN Checkpointing to Persistent Memory with Zero-Copy. Yuanhao Li, Tianyuan Wu, Guancheng Li, Yanjie Song, Shu Yin |
| 2024 | Poster: Benchmarking of Code Generative LLMs. Mirza Masfiqur Rahman, Ashish Kundu, Elisa Bertino |
| 2024 | Poster: CrystalBall - Attack Graphs Using Large Language Models and RAGs. Renascence Tarafder Prapty, Ashish Kundu, Arun Iyengar |
| 2024 | Poster: Exploring Explainability Techniques for Large Language Model Classification Predictions. Sriya Ayachitula |
| 2024 | Poster: Load Balancing for In-Memory Key-Value Data Stores. Ainhoa Azqueta-Alzúaz, Marta Patiño-Martínez |
| 2024 | Poster: Optimal Variance-Reduced Client Sampling for Multiple Models Federated Learning. Haoran Zhang, Zekai Li, Zejun Gong, Marie Siew, Carlee Joe-Wong, Rachid El Azouzi |
| 2024 | Poster: Secure Data Sharing with Decentralised Data Ring Fencing. Aditya Nangia, Saksham Bhupal, Kushagra Mittal, Mukesh K. Mohania, Ashish Kundu |
| 2024 | Poster: Selection of Optimal Neural Model using Spiking Neural Network for Edge Computing Sanaullah, Kaushik Roy, Ulrich Rückert, Thorsten Jungeblut |
| 2024 | Poster: Service Polymorphism: Enhancing Web Service Performance by Serving Clients Dissimilarly. Zhengquan Li, Zheng Song |
| 2024 | Power Profile Monitoring and Tracking Evolution of System-Wide HPC Workloads. Ahmad Maroof Karimi, Naw Safrin Sattar, Woong Shin, Feiyi Wang |
| 2024 | PrivRE: Regular Expression Matching for Encrypted Packet Inspection. Xiaoyang Hou, Jian Liu, Tianyu Tu, Rui Zhang, Kui Ren |
| 2024 | Privacy-preserving Finger Movement Tracking U sing Acoustic Sensing Enhanced by Smartphone Case Mini-structures. Zhengkun Ye, Yan Wang, Yingying Chen |
| 2024 | QUART: Latency-Aware FaaS System for Pipelining Large Model Inference. Yanying Lin, Yanbo Li, Shijie Peng, Yingfei Tang, Shutian Luo, Haiying Shen, Cheng-Zhong Xu, Kejiang Ye |
| 2024 | Quantum Network Routing Based on Surface Code Error Correction. Tianjie Hu, Jindi Wu, Qun Li |
| 2024 | Reducing First-Frame Delay of Live Streaming by Simultaneously Initializing Window and Rate. Bo Wu, Tong Li, Cheng Luo, Xu Yan, Fuyu Wang, Changkui Ouyang, Linfeng Guo, Haiyang Wang, Ke Xu |
| 2024 | Resolve Cross-Channel Interference for LoRa. Fu Yu, Xiaolong Zheng, Yuhao Ma, Liang Liu, Huadong Ma |
| 2024 | RideGuard: Micro-Mobility Steering Maneuver Prediction with Smartphones. Zengyi Han, Xuefu Dong, Liqiang Xu, Zhen Zhu, En Wang, Yuuki Nishiyama, Kaoru Sezaki |
| 2024 | Robust Categorical Data Clustering Guided by Multi-Granular Competitive Learning. Shenghong Cai, Yiqun Zhang, Xiaopeng Luo, Yiu-ming Cheung, Hong Jia, Peng Liu |
| 2024 | Robust Decentralized Online Optimization Against Malicious Agents. Dacheng Wen, Yupeng Li, Xiaoxi Zhang, Francis C. M. Lau |
| 2024 | SG-FCB: A Stackelberg Game-Driven Fair Committee-Based Blockchain Consensus Protocol. Ningbin Yang, Chunming Tang, Zehui Xiong, Qian Chen, Jiawen Kang, Debiao He |
| 2024 | SPATIAL: Practical AI Trustworthiness with Human Oversight. Abdul-Rasheed Ottun, Rasinthe Marasinghe, Toluwani Elemosho, Mohan Liyanage, Ashfaq Hussain Ahmed, Michell Boerger, Chamara Sandeepa, Thulitha Senevirathna, Vinh Hoa La, Manh-Dung Nguyen, Claudio Soriente, Samuel Marchal, Shen Wang, David Solans Noguero, Nikolay Tcholtchev, Aaron Yi Ding, Huber Flores |
| 2024 | SPOT: Structure Patching and Overlap Tweaking for Effective Pipelining in Privacy-Preserving MLaaS with Tiny Clients. Xiangrui Xu, Qiao Zhang, Rui Ning, Chunsheng Xin, Hongyi Wu |
| 2024 | SecSCS: A User-Centric Secure Smart Camera System Based on Blockchain. Xinyuan Qian, Hongwei Li, Haoyong Wang, Guowen Xu, Shengmin Xu, Ju Ren |
| 2024 | SensorBFT: Fault-Tolerant Target Localization Using Voronoi Diagrams and Approximate Agreement. Akhil Bandarupalli, Adithya Bhat, Somali Chaterji, Michael K. Reiter, Aniket Kate, Saurabh Bagchi |
| 2024 | Tackling System-Induced Bias in Federated Learning: A Pricing-Based Incentive Mechanism. Shuo Wang, Bing Luo, Ming Tang |
| 2024 | Tangram: High-Resolution Video Analytics on Serverless Platform with SLO-Aware Batching. Haosong Peng, Yufeng Zhan, Peng Li, Yuanqing Xia |
| 2024 | The Impact of Asynchrony on Stability of MAC. Pawel Garncarek, Dariusz R. Kowalski, Shay Kutten, Lauren Murach |
| 2024 | The SPATIAL Architecture: Design and Development Experiences from Gauging and Monitoring the AI Inference Capabilities of Modern Applications. Abdul-Rasheed Ottun, Rasinthe Marasinghe, Toluwani Elemosho, Mohan Liyanage, Mohamad Ragab, Prachi Bagave, Marcus Westberg, Mehrdad Asadi, Michell Boerger, Chamara Sandeepa, Thulitha Senevirathna, Bartlomiej Siniarski, Madhusanka Liyanage, Vinh Hoa La, Manh-Dung Nguyen, Edgardo Montes de Oca, Tessa Oomen, João Fernando Ferreira Gonçalves, Illija Tanaskovic, Sasa Klopanovic, Nicolas Kourtellis, Claudio Soriente, Jason Pridmore, Ana Rosa Cavalli, Drasko Draskovic, Samuel Marchal, Shen Wang, David Solans Noguero, Nikolay Tcholtchev, Aaron Yi Ding, Huber Flores |
| 2024 | Timed Data Release Using Smart Contracts. Jingzhe Wang, Haocheng Wang, Chao Li, Balaji Palanisamy |
| 2024 | Toward Free-Riding Attack on Cross-Silo Federated Learning Through Evolutionary Game. Tianxiang Chen, Feng Wang, Wangjie Qiu, Qinnan Zhang, Zehui Xiong, Zhiming Zheng |
| 2024 | Towards Integrated Energy-Communication-Transportation Hub: A Base-Station-Centric Design in 5G and Beyond. Linfeng Shen, Guanzhen Wu, Cong Zhang, Xiaoyi Fan, Jiangchuan Liu |
| 2024 | Towards Rational Consensus in Honest Majority. Varul Srivastava, Sujit Gujar |
| 2024 | TrimCaching: Parameter-Sharing AI Model Caching in Wireless Edge Networks. Guanqiao Qu, Zheng Lin, Fangming Liu, Xianhao Chen, Kaibin Huang |
| 2024 | URCD: Unsupervised Root Cause Detection in Microservices Architecture with HGAN. Harsh Borse, Utkalika Satapathy, Mainack Mondal, Bivas Mitra |
| 2024 | USSC: Universal and Storage-Efficient Sidechains. Taotao Li, Huawei Huang, Lingyuan Yin, Siyuan Yao, Zibin Zheng |
| 2024 | Understanding the IO Performance Gap Between OS-Level and VM-Level Containers in High-Density Deployment. Wentai Li, Kaijun Zhou, Jiacheng Shi, Xingman Chen, Yadong Liu, Luyuan Wang, Jinyu Gu |
| 2024 | Universal and Trustless Large-Value Payments in Cryptocurrencies. Zihan Liu, Chao Lin, Debiao He, Xinyi Huang, Lang Pu |
| 2024 | Unveiling DRAM Failures Across Different CPU Architectures in Large-Scale Datacenters. Qiao Yu, Jorge Cardoso, Odej Kao |
| 2024 | Vehigan:Generative Adversarial Networks for Adversarially Robust V2X Misbehavior Detection Systems. Md Hasan Shahriar, Mohammad Raashid Ansari, Jean-Philippe Monteuuis, Cong Chen, Jonathan Petit, Y. Thomas Hou, Wenjing Lou |
| 2024 | WIRE: Web3 Integrated Reputation Engine. Suraj Shamsundar Jain, Huancheng Zhou, Guofei Gu |
| 2024 | WaveKey: Secure Mobile Ad Hoc Access to RFID-Protected Systems. Dianqi Han, Ang Li, Jiawei Li, Yan Zhang, Tao Li, Yanchao Zhang |
| 2024 | When the Edge Meets Transformers: Distributed Inference with Transformer Models. Chenghao Hu, Baochun Li |
| 2024 | mmHand: 3D Hand Pose Estimation Leveraging mmWave Signals. Hao Kong, Haoxin Lyu, Jiadi Yu, Linghe Kong, Junlin Yang, Yanzhi Ren, Hongbo Liu, Yingying Chen |