| 2023 | 43rd IEEE International Conference on Distributed Computing Systems, ICDCS 2023, Hong Kong, July 18-21, 2023 |
| 2023 | A Data Flow Framework with High Throughput and Low Latency for Permissioned Blockchains. Zhenxing Hu, Shengjie Guan, Wenbo Xu, Zhen Xiao, Jie Shi, Pengze Li, Qiuyu Ding, Hui Ding, Chao Zeng |
| 2023 | A Game of NFTs: Characterizing NFT Wash Trading in the Ethereum Blockchain. Massimo La Morgia, Alessandro Mei, Alberto Maria Mongardini, Eugenio Nerio Nemmi |
| 2023 | A Novel Two-Layer DAG-Based Reactive Protocol for IoT Data Reliability in Metaverse. Changlin Yang, Ying Liu, Kwan-Wu Chin, Jiguang Wang, Huawei Huang, Zibin Zheng |
| 2023 | A Prototype-Based Knowledge Distillation Framework for Heterogeneous Federated Learning. Feng Lyu, Cheng Tang, Yongheng Deng, Tong Liu, Yongmin Zhang, Yaoxue Zhang |
| 2023 | AccountNet: Accountable Data Propagation Using Verifiable Peer Shuffling. Man-Ki Yoon |
| 2023 | Adaptively Secure Random Beacons for Ungrindable Blockchains. Aggelos Kiayias, Cristopher Moore, Saad Quader, Alexander Russell |
| 2023 | AirDnD - Asynchronous In-Range Dynamic and Distributed Network Orchestration Framework. Malsha Ashani Mahawatta Dona, Christian Berger, Yinan Yu |
| 2023 | B4B.World Demo: Influencer Marketing Cross-Chain Platform. Anna Chukhnina, Grigorii Melnikov, Anton Pecherkin, Aleksandr Sokolov, Yury Yanovich |
| 2023 | Behavior Tree-based Workflow Modeling and Scheduling for Serverless Edge Computing. Ke Luo, Tao Ouyang, Zhi Zhou, Xu Chen |
| 2023 | BlockPAT: A Blockchain-Enabled Second-Hand Physical Asset Tokenization Management System. Jiaxuan Wu, Wei-Yang Chiu, Weizhi Meng, Brooke Lampe |
| 2023 | CAUSEC: Cache-Based Secure Key Computation with (Mostly) Deprivileged Execution. Shariful Alam, Le Guan, Zeyu Chen, Haining Wang, Jidong Xiao |
| 2023 | CONFPILOT: A Pilot for Faster Configuration by Learning from Device Manuals. Jinyu Zhao, Haifeng Sun, Jingyu Wang, Qi Qi, Zirui Zhuang, Shimin Tao, Jianxin Liao |
| 2023 | Churn-Tolerant Leader Election Protocols. Jiangran Wang, Indranil Gupta |
| 2023 | Computation-Effective Personalized Federated Learning: A Meta Learning Approach. Ziwei Zhan, Xiaoxi Zhang |
| 2023 | Coverage Maximization of Heterogeneous UAV Networks. Shuyue Li, Chaocan Xiang, Wenzheng Xu, Jian Peng, Zichuan Xu, Jing Li, Weifa Liang, Xiaohua Jia |
| 2023 | Cross-Domain Data Extraction and Knowledge Graph Construction for Dispute Analysis. Qinglang Guo, Xiaolu Chen, Pengyuan Zhou, Yong Liao |
| 2023 | CrowdWeb: A Visualization Tool for Mobility Patterns in Smart Cities. Yisheng Alison Zheng, Abdallah Lakhdari, Amani Abusafia, Shing Tai Tony Lui, Athman Bouguettaya |
| 2023 | DUO: Stealthy Adversarial Example Attack on Video Retrieval Systems via Frame-Pixel Search. Xin Yao, Yu Zhan, Yimin Chen, Fengxiao Tang, Ming Zhao, Enlang Li, Yanchao Zhang |
| 2023 | Data-Driven Rate Control for RDMA Networks: A Lightweight Online Learning Approach. Jiancheng Ye, Dong Lin, Kechao Cai, Chao Zhou, Jianfei He, John C. S. Lui |
| 2023 | DataVaults: A Secure, Distributed and Privacy Preserving Personal Data Management Platform. Weizhi Meng, Wei-Yang Chiu |
| 2023 | DeAR: Accelerating Distributed Deep Learning with Fine-Grained All-Reduce Pipelining. Lin Zhang, Shaohuai Shi, Xiaowen Chu, Wei Wang, Bo Li, Chengjian Liu |
| 2023 | Decentralized Learning of Bayesian Networks from Private Data with Applications to Global Pandemic. Oluwaseun T. Ajayi, Yu Cheng |
| 2023 | Demo: Blockchain Application for Hydrogen Production and Distribution Tracing. Yash Madhwal, Yury Yanovich, Matteo Coveri |
| 2023 | Demo: Decentralized Autonomous Organization with Centralized Crisis Resolution. Marina Shevko, Yury Yanovich, Darya Zhukova |
| 2023 | Demo: EQuaTE: Efficient Quantum Train Engine Design and Demonstration for Dynamic Software Analysis. Soohyun Park, Hao Feng, Won Joon Yun, Chanyoung Park, Youn Kyu Lee, Soyi Jung, Joongheon Kim |
| 2023 | Demo: Model of Distributed Sorting System with Robotic Agents. Starostenko Aleksey, Kozin Filipp, Roman Gorbachev, Olga Khvostikova, Sergei Gerasimov, Zakharova Ekaterina, Mikhail Zaripov |
| 2023 | Demo: Non-Fungible Tokens in Asset-Backed Securitization. Vyacheslav Davydov, Alexander Krymov, Deniz Ozmaden, Yaroslav Pashchenko, Alexander Tenyaev, Yury Yanovich |
| 2023 | Demo: PIEChain - A Practical Blockchain Interoperability Framework. Daniël Reijsbergen, Aung Maw, Jingchi Zhang, Tien Tuan Anh Dinh, Anwitaman Datta |
| 2023 | Demo: SGX-MR-Prot: Efficient and Developer-Friendly Access-Pattern Protection in Trusted Execution Environments. A. K. M. Mubashwir Alam, Justin Boyce, Keke Chen |
| 2023 | Demo: SenShaMart - A Sensor Sharing Marketplace for IoT. Anas Dawod, Dimitrios Georgakopoulos, Prem Prakash Jayaraman, Josip Karabotic Milovac, Kewen Liao, Panos K. Chrysanthis |
| 2023 | Demystifying Privacy and Security Issues in Potentially Harmful Mobile Applications. Kaifa Zhao |
| 2023 | Detecting Flash Loan Based Attacks in Ethereum. Qing Xia, Zhirong Huang, Wensheng Dou, Yafeng Zhang, Fengjun Zhang, Geng Liang, Chun Zuo |
| 2023 | Differentially Private Two-Party Top-$k$ Frequent Item Mining. Wei Tong, Wenjie Chen, Tingxuan Han, Haoyu Chen, Sheng Zhong |
| 2023 | Differentiated Security in the Age of Cognitive Internet of Things (CIoT). Jiani Fan, Kwok-Yan Lam, Dusit Niyato |
| 2023 | Digital Twin-Assisted Resource Demand Prediction for Multicast Short Video Streaming. Xinyu Huang, Wen Wu, Xuemin Sherman Shen |
| 2023 | Distributed Agent-Based Control in Dynamic Environments. Sebastian Schmid |
| 2023 | Distributed Online Min-Max Load Balancing with Risk-Averse Assistance. Jingrong Wang, Ben Liang |
| 2023 | Distributed Pruning Towards Tiny Neural Networks in Federated Learning. Hong Huang, Lan Zhang, Chaoyue Sun, Ruogu Fang, Xiaoyong Yuan, Dapeng Wu |
| 2023 | Distributed Threshold-Based Offloading for Heterogeneous Mobile Edge Computing. Xudong Qin, Qiaomin Xie, Bin Li |
| 2023 | EarSonar: An Acoustic Signal-Based Middle-Ear Effusion Detection Using Earphones. Jingyang Hu, Hongbo Jiang, Daibo Liu, Zhu Xiao, Hangcheng Cao, Yue Qi, Schahram Dustdar, Jiangchuan Liu |
| 2023 | EchoImage: User Authentication on Smart Speakers Using Acoustic Signals. Yanzhi Ren, Zhiliang Xia, Siyi Li, Hongbo Liu, Yingying Chen, Shuai Li, Hongwei Li |
| 2023 | Edge-Assisted Adaptive Configuration for Serverless-Based Video Analytics. Ziyi Wang, Songyu Zhang, Jing Cheng, Zhixiong Wu, Zhen Cao, Yong Cui |
| 2023 | Edge-Cloud Collaborated Object Detection via Difficult-Case Discriminator. Zhiqiang Cao, Zhijun Li, Yongrui Chen, Heng Pan, Youbing Hu, Jie Liu |
| 2023 | EdgeOrcher: Predictive Function Orchestration for Serverless-Based Edge Native Applications. Yunkai Liang, Zhi Zhou, Xu Chen |
| 2023 | Efficient Federated Learning with Adaptive Client-Side Hyper-Parameter Optimization. Majid Kundroo, Taehong Kim |
| 2023 | Efficient Flow Recording with InheritSketch on Programmable Switches. Guorui Xie, Qing Li, Guanglin Duan, Yong Jiang, Zhuyun Qi, Shuo Liu, Qiaoling Wang |
| 2023 | Efficient and Secure Spatial Range Query over Large-scale Encrypted Data. Yinbin Miao, Chao Xu, Yifeng Zheng, Ximeng Liu, Xiangdong Meng, Robert H. Deng |
| 2023 | Elastic DNN Inference with Unpredictable Exit in Edge Computing. Jiaming Huang, Yi Gao, Wei Dong |
| 2023 | Embedding Communication for Federated Graph Neural Networks with Privacy Guarantees. Xueyu Wu, Zhuoran Ji, Cho-Li Wang |
| 2023 | EmoLeak: Smartphone Motions Reveal Emotions. Ahmed Tanvir Mahdad, Cong Shi, Zhengkun Ye, Tianming Zhao, Yan Wang, Yingying Chen, Nitesh Saxena |
| 2023 | End-to-End Congestion Control as Learning for Unknown Games with Bandit Feedback. Zhiming Huang, Kaiyang Liu, Jianping Pan |
| 2023 | Energy-Aware Online Task Offloading and Resource Allocation for Mobile Edge Computing. Yu Liu, Yingling Mao, Xiaojun Shang, Zhenhua Liu, Yuanyuan Yang |
| 2023 | Entanglement Routing Over Quantum Networks Using Greenberger-Horne-Zeilinger Measurements. Yiming Zeng, Jiarui Zhang, Ji Liu, Zhenhua Liu, Yuanyuan Yang |
| 2023 | Evaluation and Optimization of Gradient Compression for Distributed Deep Learning. Lin Zhang, Longteng Zhang, Shaohuai Shi, Xiaowen Chu, Bo Li |
| 2023 | FIS-ONE: Floor Identification System with One Label for Crowdsourced RF Signals. Weipeng Zhuo, Ka Ho Chiu, Jierun Chen, Ziqi Zhao, S.-H. Gary Chan, Sangtae Ha, Chul-Ho Lee |
| 2023 | FaaSBatch: Enhancing the Efficiency of Serverless Computing by Batching and Expanding Functions. Zhaorui Wu, Yuhui Deng, Yi Zhou, Jie Li, Shujie Pang |
| 2023 | Fair DNN Model Selection in Edge AI via A Cooperative Game Approach. Jiajie Xie, Zhi Zhou, Tao Ouyang, Xiaoxi Zhang, Xu Chen |
| 2023 | Fast Prototyping of Distributed Stream Processing Applications with stream2gym. Md. Monzurul Amin Ifath, Miguel C. Neves, Israat Haque |
| 2023 | FastStore: A High-Performance RDMA-Enabled Distributed Key-Value Store with Persistent Memory. Ziwei Xiong, Dejun Jiang, Jin Xiong |
| 2023 | FedDM: Data and Model Heterogeneity-Aware Federated Learning via Dynamic Weight Sharing. Leming Shen, Yuanqing Zheng |
| 2023 | Flexible Topological Control for Underwater Optical Wireless Sensor Networks. Yang Chi, Chi Lin, Yu Tian, Lei Wang |
| 2023 | FriendSeeker: Inferring Hidden Friendship in Mobile Social Networks with Sparse Check-in Data. Shan Chang, Yuting Tao, Hongzi Zhu, Bo Li |
| 2023 | GT-TSCH: Game-Theoretic Distributed TSCH Scheduler for Low-Power IoT Networks. Omid Tavallaie, Seid Miad Zandavi, Hamed Haddadi, Albert Y. Zomaya |
| 2023 | GeckoDAG: Towards a Lightweight DAG-Based Blockchain via Reducing Data Redundancy. Xiaohai Dai, Yifan Zhou, Jiang Xiao, Feng Cheng, Xia Xie, Hai Jin, Bo Li |
| 2023 | Get More for Less in Decentralized Learning Systems. Akash Balasaheb Dhasade, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma, Milos Vujasinovic, Jeffrey Wigger |
| 2023 | HCPerf: Driving Performance-Directed Hierarchical Coordination for Autonomous Vehicles. Jialiang Ma, Li Li, Zejiang Wang, Jun Wang, Chengzhong Xu |
| 2023 | Hierarchical Federated Learning with Adaptive Momentum in Multi-Tier Networks. Zhengjie Yang, Sen Fu, Wei Bao, Dong Yuan, Bing Bing Zhou |
| 2023 | Hierarchical Privacy-Preserved Knowledge Graph. Xiaolu Chen, Jie Bao, Pengyuan Zhou, Yong Liao |
| 2023 | Hierarchical, Distributed and Brain-Inspired Learning for Internet of Things Systems. Mohsen Imani, Yeseong Kim, Behnam Khaleghi, Justin Morris, Haleh Alimohamadi, Farhad Imani, Hugo Latapie |
| 2023 | How Hard is Asynchronous Weight Reassignment? Hasan Heydari, Guthemberg Silvestre, Alysson Bessani |
| 2023 | Hwamei: A Learning-Based Synchronization Scheme for Hierarchical Federated Learning. Tianyu Qi, Yufeng Zhan, Peng Li, Jingcai Guo, Yuanqing Xia |
| 2023 | Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation. Bing Luo, Yutong Feng, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas |
| 2023 | Interference-Aware VM Placement in Cloud. Sajjad Hossain, Md. Mahfuzur Rahman, Md Musfique Anwar |
| 2023 | JetEsti: A New DLT Job Scheduling Simulator Based on Fine-Grained Process Modeling. Yongzhe He, Yueyuan Zhou, En Shao, Guangming Tan, Ninghui Sun |
| 2023 | L2BM: Switch Buffer Management for Hybrid Traffic in Data Center Networks. Yi Liu, Jiangping Han, Kaiping Xue, Ruidong Li, Jian Li |
| 2023 | LEOTP: An Information-Centric Transport Layer Protocol for LEO Satellite Networks. Li Jiang, Yihang Zhang, Jinyu Yin, Xinggong Zhang, Bin Liu |
| 2023 | Learning to Be Green: Carbon-Aware Online Control for Edge Intelligence with Colocated Learning and Inference. Shuomiao Su, Zhi Zhou, Tao Ouyang, Ruiting Zhou, Xu Chen |
| 2023 | Less is More: Dynamic and Shared Headroom Allocation in PFC-Enabled Datacenter Networks. Danfeng Shan, Yuqi Liu, Tong Zhang, Yifan Liu, Yazhe Tang, Hao Li, Peng Zhang |
| 2023 | Lightning Creation Games. Zeta Avarikioti, Tomasz Lizurej, Tomasz Michalak, Michelle Yeo |
| 2023 | Lightweight Streaming Graph Partitioning by Fully Utilizing Knowledge from Local View. Zhigang Wang, Zichao Yang, Ning Wang, Yujie Du, Jie Nie, Zhiqiang Wei, Yu Gu, Ge Yu |
| 2023 | MRTOM: Mostly Reliable Totally Ordered Multicast, a Network Primitive to Offload Distributed Systems. Zhang Liu, Dirk Grunwald, Joseph Izraelevitz, Gaukas Wang, Sangtae Ha |
| 2023 | Mitigating Adversarial Attacks in Federated Learning with Trusted Execution Environments. Simon Queyrut, Valerio Schiavoni, Pascal Felber |
| 2023 | Multi-Intersection Management for Connected Autonomous Vehicles by Reinforcement Learning. Haiming Jin, Yifei Wei, Zhaoxing Yang, Zirui Liu, Guiyun Fan |
| 2023 | Multi-Site Clinical Federated Learning Using Recursive and Attentive Models and NVFlare. Won Joon Yun, Samuel Kim, Joongheon Kim |
| 2023 | On Arbitrary Ignorance of Stragglers with Gradient Coding. Xian Su, Brian Sukhnandan, Jun Li |
| 2023 | On Reconstructing the Patient Zero from Sensor Measurements. Max Hahn-Klimroth, Dominik Kaaser |
| 2023 | On the Minimal Knowledge Required for Solving Stellar Consensus. Robin Vassantlal, Hasan Heydari, Alysson Bessani |
| 2023 | Optimal Hub Placement and Deadlock-Free Routing for Payment Channel Network Scalability. Lingxiao Yang, Xuewen Dong, Sheng Gao, Qiang Qu, Xiaodong Zhang, Wensheng Tian, Yulong Shen |
| 2023 | Optimizing Scientific Data Transfer on Globus with Error-Bounded Lossy Compression. Yuanjian Liu, Sheng Di, Kyle Chard, Ian T. Foster, Franck Cappello |
| 2023 | Oracle Agreement: From an Honest Super Majority to Simple Majority. Prasanth Chakka, Saurabh Joshi, Aniket Kate, Joshua Tobkin, David Yang |
| 2023 | P Yuchen Su, Guoqing Jiang, Yicong Du, Yuefeng Chen, Hongbo Liu, Yanzhi Ren, Huan Dai, Yan Wang, Shuai Li, Yingying Chen |
| 2023 | PASE: Pro-Active Service Embedding in the Mobile Edge. Oleg Kolosov, Gala Yadgar, David Breitgand, Dean H. Lorenz |
| 2023 | Performance Analysis of ZNS-aware File Systems on Distributed Applications. Yongwoo Cho, Seongsoo Park, Hwansoo Han |
| 2023 | Poster: A Cross-Slice Resource Orchestration Framework for 5G Network Services. Ramneek, Patrick Hosein, Sangheon Pack |
| 2023 | Poster: Accessible, Distributed Hydro-Surveillance Through Integrated End-Edge-Cloud Architecture. Chen Chen, Guorun Yao, Li Cong, Wei Han, Shi Bai, Ci He |
| 2023 | Poster: Coordinated Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Swarms in Autonomous Mobile Access Applications. Chanyoung Park, Haemin Lee, Won Joon Yun, Soohyun Park, Soyi Jung, Joongheon Kim |
| 2023 | Poster: DP-Reverser: Automatically Reverse Engineering Vehicle Diagnostic Protocols. Le Yu, Rui Yao, Zhanlei Zhang |
| 2023 | Poster: Exploring Synthetic Data Generation for Anomaly Detection in the 5G NWDAF Architecture. Jiwon Ock, Hyeon No, Seongmin Kim |
| 2023 | Poster: FedRos - Federated Reinforcement Learning for Networked Mobile-Robot Collaboration. Wenli Xiao, Tingwei Ye, Bing Luo, Jianwei Huang |
| 2023 | Poster: Multi-Writer Searchable Encryption with Fast Search and Post-Quantum Security. Jiafan Wang, Dongxi Liu |
| 2023 | Poster: Raising the Temporal Misalignment in Federated Learning. Bo Zhang, Shuo Huang, Helei Cui, Xiaoning Liu, Zhiwen Yu, Bin Guo, Tao Xing |
| 2023 | Poster: SigRec - Automatic Recovery of Function Signatures in Smart Contracts. Ting Chen, Zihao Li, Xiapu Luo, Xiaofeng Wang, Ting Wang, Zheyuan He, Kezhao Fang, Yufei Zhang, Hang Zhu, Hongwei Li, Yan Cheng, Xiaosong Zhang |
| 2023 | Poster: Task Difficulty Adjustment in the Energy-Recycling Consensus Mechanism. Hao Zeng, Man Li, Helei Cui, Yuefeng Du, Zhiwen Yu, Bin Guo |
| 2023 | Poster: Towards Accurate and Fast Federated Learning in End-Edge-Cloud Orchestrated Networks. Mingze Li, Peng Sun, Huan Zhou, Liang Zhao, Xuxun Liu, Victor C. M. Leung |
| 2023 | Poster: Two-Phase KalmanNet Based Collaborative Detection Framework. Tianlong Zhou, Weixiong Rao, Feng Ye |
| 2023 | Poster: Uncovering Vulnerabilities in Wasm Smart Contracts. Weimin Chen, Zihan Sun, Haoyu Wang, Xiapu Luo, Haipeng Cai, Lei Wu |
| 2023 | Poster:Multi-Modal-Based Video Stabilization for Mobile Devices in Dynamic Scenes. Chaoran Li, Lei Xie, Yanling Bu, Ming Zhao, Zhenjie Lin, Liming Wang |
| 2023 | Poster:Stock Price Prediction Using Machine Learning. Kuan-Yu Chen, Pei-Ju Lee, Shang-Chien Liu |
| 2023 | RDSF: Risk Driven Security Framework for Industrial Autonomous Robots. Joseph Edo Udo, Muntadher Sallal |
| 2023 | RangeQC: A Query Control Framework for Range Query Leakage Quantification and Mitigation. Xinyan Li, Yuefeng Du, Cong Wang |
| 2023 | Reliable Data Delivery in Underwater Optical Wireless Sensor Networks. Yu Tian, Lei Wang, Chi Lin, Haipeng Dai, Yu Su, Bingxian Lu, Zhenquan Qin, Peizheng Guo |
| 2023 | Reliable Federated Learning Based Traffic Crowdsourcing in the Presence of Adversarial Users. Li Yu, Ning Zhang, Esam Abdel-Raheem |
| 2023 | RoADTrain: Route-Assisted Decentralized Peer Model Training Among Connected Vehicles. Han Zheng, Mengjing Liu, Fan Ye, Yuanyuan Yang |
| 2023 | SEREDACT: Secure and Efficient Redactable Blockchain with Verifiable Modification. Zhuo Xu, Xinyi Luo, Kaiping Xue, David S. L. Wei, Ruidong Li |
| 2023 | SVMDformer: A Semi-Supervised Vehicular Misbehavior Detection Framework Based on Transformer in IoV. Zhikang Liu, Hongyun Xu, Yong Kuang, Feng Li |
| 2023 | Scalable Federated Learning with System Heterogeneity. Fatih Ilhan, Gong Su, Qingyang Wang, Ling Liu |
| 2023 | ScanFed: Scalable Behavior-Based Backdoor Detection in Federated Learning. Rui Ning, Jiang Li, Chunsheng Xin, Chonggang Wang, Xu Li, Robert Gazda, Jin-Hee Cho, Hongyi Wu |
| 2023 | Secure Collaborative Learning in Mining Pool via Robust and Efficient Verification. Xiaoli Zhang, Zhicheng Xu, Hongbing Cheng, Tong Che, Ke Xu, Weiqiang Wang, Wenbiao Zhao, Chunping Wang, Qi Li |
| 2023 | SecureCyclon: Dependable Peer Sampling. Alexandros Antonov, Spyros Voulgaris |
| 2023 | Semantic Communications, Semantic Edge Computing, and Semantic Caching with Applications to the Metaverse and 6G Mobile Networks. Wenhan Yu, Jun Zhao |
| 2023 | Servo: Increasing the Scalability of Modifiable Virtual Environments Using Serverless Computing. Jesse Donkervliet, Javier Ron, Junyan Li, Tiberiu Iancu, Cristina L. Abad, Alexandru Iosup |
| 2023 | Smart Contract Parallel Execution with Fine-Grained State Accesses. Xiaodong Qi, Jiao Jiao, Yi Li |
| 2023 | SocialEdge: Socialized Learning-Based Request Scheduling for Edge-Cloud Systems. Ziwei Wang, Yunfeng Zhao, Chao Qiu, Qiang He, Xin Wang, Xiaofei Wang, Qinghua Hu |
| 2023 | Split Federated Learning: Speed up Model Training in Resource-Limited Wireless Networks. Songge Zhang, Wen Wu, Penghui Hu, Shaofeng Li, Ning Zhang |
| 2023 | SplitBeam: Effective and Efficient Beamforming in Wi-Fi Networks Through Split Computing. Niloofar Bahadori, Yoshitomo Matsubara, Marco Levorato, Francesco Restuccia |
| 2023 | Stash: A Comprehensive Stall-Centric Characterization of Public Cloud VMs for Distributed Deep Learning. Aakash Sharma, Vivek M. Bhasi, Sonali Singh, Rishabh Jain, Jashwant Raj Gunasekaran, Subrata Mitra, Mahmut Taylan Kandemir, George Kesidis, Chita R. Das |
| 2023 | State-Aware Unsafe Driving Action Detection and Defense. Tianqi Li, Rujun Hu, Lei Xue, Xiapu Luo |
| 2023 | TailGuard: Tail Latency SLO Guaranteed Task Scheduling for Data-Intensive User-Facing Applications. Zhijun Wang, Huiyang Li, Lin Sun, Todd Rosenkrantz, Hao Che, Hong Jiang |
| 2023 | Towards Decentralized Adaptive Control of Cryptocurrency Liquidity via Auction. Shuyang Tang, Sherman S. M. Chow |
| 2023 | TradeFL: A Trading Mechanism for Cross-Silo Federated Learning. Shijing Yuan, Hongtao Lv, Hongze Liu, Chentao Wu, Song Guo, Zhi Liu, Hongyang Chen, Jie Li |
| 2023 | TransOff: Towards Fast Transferable Computation Offloading in MEC via Embedded Reinforcement Learning. Zheyuan Hu, Jianwei Niu, Tao Ren |
| 2023 | Two-Stage Coded Distributed Learning: A Dynamic Partial Gradient Coding Perspective. Xinghan Wang, Xiaoxiong Zhong, Jiahong Ning, Tingting Yang, Yuanyuan Yang, Guoming Tang, Fangming Liu |
| 2023 | Utility-Oriented Communications for 6G Mobile Networks and the Metaverse: Semantic, Task-Oriented, Goal-Oriented, and More. Zefan Wang, Jun Zhao |
| 2023 | Welcome Message. Elisa Bertino, Baochun Li, Ophir Frieder, Xiaohua Jia |
| 2023 | Work Condition Monitoring for Knife-Edge Switches on Lightweight Edge Devices. Ziwei Liu, Lei Xie, Jingyi Ning, Ming Zhao, Zhenjie Lin, Liming Wang |
| 2023 | bbTopk: Bandwidth-Aware Sparse Allreduce with Blocked Sparsification for Efficient Distributed Training. Chang Chen, Min Li, Chao Yang |