| 2023 | Demystifying Privacy and Security Issues in Potentially Harmful Mobile Applications. | Kaifa Zhao |
| 2023 | Computation-Effective Personalized Federated Learning: A Meta Learning Approach. | Ziwei Zhan, Xiaoxi Zhang |
| 2023 | Evaluation and Optimization of Gradient Compression for Distributed Deep Learning. | Lin Zhang, Longteng Zhang, Shaohuai Shi, Xiaowen Chu, Bo Li |
| 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 | Split Federated Learning: Speed up Model Training in Resource-Limited Wireless Networks. | Songge Zhang, Wen Wu, Penghui Hu, Shaofeng Li, Ning Zhang |
| 2023 | Rethinking Incentive in Payment Channel Networks. | Yunqi Zhang, Shaileshh Bojja Venkatakrishnan |
| 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 | Learning-based Incentive Mechanism for Task Freshness-aware Vehicular Twin Migration. | Junhong Zhang, Jiangtian Nie, Jinbo Wen, Jiawen Kang, Minrui Xu, Xiaofeng Luo, Dusit Niyato |
| 2023 | Poster: Raising the Temporal Misalignment in Federated Learning. | Bo Zhang, Shuo Huang, Helei Cui, Xiaoning Liu, Zhiwen Yu, Bin Guo, Tao Xing |
| 2023 | Entanglement Routing Over Quantum Networks Using Greenberger-Horne-Zeilinger Measurements. | Yiming Zeng, Jiarui Zhang, Ji Liu, Zhenhua Liu, Yuanyuan Yang |
| 2023 | Poster: Task Difficulty Adjustment in the Energy-Recycling Consensus Mechanism. | Hao Zeng, Man Li, Helei Cui, Yuefeng Du, Zhiwen Yu, Bin Guo |
| 2023 | Decentralized Platooning Optimization for Trucks: A MILP and ADMM-based Convex Approach to Minimize Latency and Energy Consumption. | Irene de Zarz, Joachim de Curt, Carlos T. Calafate |
| 2023 | Decentralized Planning of Platoons in Road Transport using Reinforcement Learning. | Irene de Zarz, Joachim de Curt, Carlos T. Calafate |
| 2023 | Reliable Federated Learning Based Traffic Crowdsourcing in the Presence of Adversarial Users. | Li Yu, Ning Zhang, Esam Abdel-Raheem |
| 2023 | Semantic Communications, Semantic Edge Computing, and Semantic Caching with Applications to the Metaverse and 6G Mobile Networks. | Wenhan Yu, Jun Zhao |
| 2023 | Poster: DP-Reverser: Automatically Reverse Engineering Vehicle Diagnostic Protocols. | Le Yu, Rui Yao, Zhanlei Zhang |
| 2023 | Multi-Site Clinical Federated Learning Using Recursive and Attentive Models and NVFlare. | Won Joon Yun, Samuel Kim, Joongheon Kim |
| 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 | AccountNet: Accountable Data Propagation Using Verifiable Peer Shuffling. | Man-Ki Yoon |
| 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 | 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 | 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 | Hierarchical Federated Learning with Adaptive Momentum in Multi-Tier Networks. | Zhengjie Yang, Sen Fu, Wei Bao, Dong Yuan, Bing Bing Zhou |
| 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 | SEREDACT: Secure and Efficient Redactable Blockchain with Verifiable Modification. | Zhuo Xu, Xinyi Luo, Kaiping Xue, David S. L. Wei, Ruidong Li |