Chao Li

According to our database, Chao Li authored at least 6 papers between 2020 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

USST: A two-phase privacy-preserving framework for personalized recommendation with semi-distributed training.

Yipeng Zhou, Jun Liu, Jessie Hui Wang, Jilong Wang, Guanfeng Liu, Di Wu, Chao Li, Shui Yu

Inf. Sci., 2022

Gain Without Pain: Offsetting DP-Injected Noises Stealthily in Cross-Device Federated Learning.

Wenzhuo Yang, Yipeng Zhou, Miao Hu, Di Wu, Xi Zheng, Jessie Hui Wang, Song Guo, Chao Li

IEEE Internet Things J., 2022

2021

Optimizing the Numbers of Queries and Replies in Federated Learning with Differential Privacy.

Yipeng Zhou, Xuezheng Liu, Yao Fu, Di Wu, Chao Li, Shui Yu

CoRR, 2021

On the Practicality of Differential Privacy in Federated Learning by Tuning Iteration Times.

Yao Fu, Yipeng Zhou, Di Wu, Shui Yu, Yonggang Wen, Chao Li

CoRR, 2021

P-FedAvg: Parallelizing Federated Learning with Theoretical Guarantees.

Zhicong Zhong, Yipeng Zhou, Di Wu, Xu Chen, Min Chen, Chao Li, Quan Z. Sheng

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

2020

On the Detection of Shilling Attacks in Federated Collaborative Filtering.

Yangfan Jiang, Yipeng Zhou, Di Wu, Chao Li, Yan Wang

Proceedings of the International Symposium on Reliable Distributed Systems, 2020