Privacy-Preserving Collaborative Learning for Multiarmed Bandits in IoT. - Shuzhen Chen 001; Youming Tao 001; Dongxiao Yu; Feng Li 002; Bei Gong; Xiuzhen Cheng 001 (IEEE Internet Things J., 2021)

Distributed learning dynamics of Multi-Armed Bandits for edge intelligence. - Shuzhen Chen 001; Youming Tao 001; Dongxiao Yu; Feng Li 002; Bei Gong (J. Syst. Archit., 2021)

Decentralized Parallel SGD With Privacy Preservation in Vehicular Networks. - Dongxiao Yu; Zongrui Zou; Shuzhen Chen 001; Youming Tao 001; Bing Tian; Weifeng Lv; Xiuzhen Cheng 001 (IEEE Trans. Veh. Technol., 2021)

PPAR: A Privacy-Preserving Adaptive Ranking Algorithm for Multi-Armed-Bandit Crowdsourcing. - Shuzhen Chen 001; Dongxiao Yu; Feng Li 002; Zongrui Zou; Weifa Liang; Xiuzhen Cheng 001 (IWQoS, 2022)

Decentralized Wireless Federated Learning With Differential Privacy. - Shuzhen Chen 001; Dongxiao Yu; Yifei Zou; Jiguo Yu; Xiuzhen Cheng 001 (IEEE Trans. Ind. Informatics, 2022)

Resource-Adaptive Newton's Method for Distributed Learning. - Shuzhen Chen 001; Yuan Yuan 014; Youming Tao 001; Zhipeng Cai 001; Dongxiao Yu (COCOON (1), 2023)

Communication Resources Limited Decentralized Learning with Privacy Guarantee through Over-the-Air Computation. - Jing Qiao; Shikun Shen; Shuzhen Chen 001; Xiao Zhang 015; Tian Lan 001; Xiuzhen Cheng 001; Dongxiao Yu (MobiHoc, 2023)

Robust communication-efficient decentralized learning with heterogeneity. - Xiao Zhang 015; Yangyang Wang; Shuzhen Chen 001; Cui Wang; Dongxiao Yu; Xiuzhen Cheng 001 (J. Syst. Archit., 2023)

Robust decentralized stochastic gradient descent over unstable networks. - Yanwei Zheng; Liangxu Zhang; Shuzhen Chen 001; Xiao Zhang 015; Zhipeng Cai 001; Xiuzhen Cheng 001 (Comput. Commun., 2023)

Privacy-Enhanced Decentralized Federated Learning at Dynamic Edge. - Shuzhen Chen 001; Yangyang Wang; Dongxiao Yu; Ju Ren 001; Congan Xu; Yanwei Zheng (IEEE Trans. Computers, 2023)

A Distributed Privacy-Preserving Learning Dynamics in General Social Networks. - Youming Tao 001; Shuzhen Chen 001; Feng Li 002; Dongxiao Yu; Jiguo Yu; Hao Sheng 001 (IEEE Trans. Knowl. Data Eng., 2023)

Distributed Learning for Large-Scale Models at Edge With Privacy Protection. - Yuan Yuan 014; Shuzhen Chen 001; Dongxiao Yu; Zengrui Zhao; Yifei Zou; Lizhen Cui; Xiuzhen Cheng 001 (IEEE Trans. Computers, 2024)

Private Over-the-Air Federated Learning at Band-Limited Edge. - Youming Tao 001; Shuzhen Chen 001; Congwei Zhang; Di Wang 015; Dongxiao Yu; Xiuzhen Cheng 001; Falko Dressler (IEEE Trans. Mob. Comput., 2024)

De-RPOTA: Decentralized Learning With Resource Adaptation and Privacy Preservation Through Over-the-Air Computation. - Jing Qiao; Shikun Shen; Shuzhen Chen 001; Xiao Zhang 015; Tian Lan 001; Xiuzhen Cheng 001; Dongxiao Yu (IEEE/ACM Trans. Netw., 2024)

Adaptive pruning-based Newton's method for distributed learning. - Shuzhen Chen 001; Yuan Yuan 014; Youming Tao 001; Tianzhu Wang; Zhipeng Cai 001; Dongxiao Yu (Theor. Comput. Sci., 2025)