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)

Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits. - Youming Tao 001; Yulian Wu; Peng Zhao; Di Wang 015 (AISTATS, 2022)

Private Stochastic Convex Optimization and Sparse Learning with Heavy-tailed Data Revisited. - Youming Tao 001; Yulian Wu; Xiuzhen Cheng 001; Di Wang 015 (IJCAI, 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)

On Private and Robust Bandits. - Yulian Wu; Xingyu Zhou 001; Youming Tao 001; Di Wang 015 (NeurIPS, 2023)

Byzantine-Resilient Federated Learning at Edge. - Youming Tao 001; Sijia Cui; Wenlu Xu; Haofei Yin; Dongxiao Yu; Weifa Liang; Xiuzhen Cheng 001 (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)

Robust Matroid Bandit Optimization Against Adversarial Contamination. - Youming Tao 001; Xiuzhen Cheng 001; Falko Dressler; Zhipeng Cai 001; Dongxiao Yu (COCOON (1), 2024)

Correlation-Aware and Personalized Privacy-Preserving Data Collection. - Dongxiao Yu; Kaiyi Zhang; Youming Tao 001; Wenlu Xu; Yifei Zou; Xiuzhen Cheng 001 (ICNC, 2024)

Communication Efficient and Provable Federated Unlearning. - Youming Tao 001; Cheng-Long Wang 003; Miao Pan; Dongxiao Yu; Xiuzhen Cheng 001; Di Wang 015 (Proc. VLDB Endow., 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)

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)

Robust matroid bandit optimization: Near-optimal rates under adversarial contamination. - Youming Tao 001; Xiuzhen Cheng 001; Falko Dressler; Zhipeng Cai 001; Dongxiao Yu (Theor. Comput. Sci., 2025)

Second-Order Convergence in Private Stochastic Non-Convex Optimization. - Youming Tao 001; Zuyuan Zhang; Dongxiao Yu; Xiuzhen Cheng 001; Falko Dressler; Di Wang 015 (CoRR, 2025)