On the Detection of Shilling Attacks in Federated Collaborative Filtering. - Yangfan Jiang 003; Yipeng Zhou; Di Wu 001; Chao Li 067; Yan Wang 002 (SRDS, 2020)

P-FedAvg: Parallelizing Federated Learning with Theoretical Guarantees. - Zhicong Zhong; Yipeng Zhou; Di Wu 001; Xu Chen 004; Min Chen 003; Chao Li 067; Quan Z. Sheng (INFOCOM, 2021)

On the Practicality of Differential Privacy in Federated Learning by Tuning Iteration Times. - Yao Fu; Yipeng Zhou; Di Wu 001; Shui Yu 001; Yonggang Wen 001; Chao Li 067 (CoRR, 2021)

Optimizing the Numbers of Queries and Replies in Federated Learning with Differential Privacy. - Yipeng Zhou; Xuezheng Liu; Yao Fu; Di Wu 001; Chao Li 067; Shui Yu 001 (CoRR, 2021)

Gain Without Pain: Offsetting DP-Injected Noises Stealthily in Cross-Device Federated Learning. - Wenzhuo Yang; Yipeng Zhou; Miao Hu 001; Di Wu 001; Xi Zheng 001; Jessie Hui Wang; Song Guo 001; Chao Li 067 (IEEE Internet Things J., 2022)

USST: A two-phase privacy-preserving framework for personalized recommendation with semi-distributed training. - Yipeng Zhou; Jun Liu 001; Jessie Hui Wang; Jilong Wang 001; Guanfeng Liu 001; Di Wu 001; Chao Li 067; Shui Yu 001 (Inf. Sci., 2022)