26 citations · 38 across the 5 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.LG2023★ 5 cited
Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model Sparsification
Yiwei Li, Chien-Wei Huang, Shuai Wang +2
Federated learning (FL) has been recognized as a rapidly growing research area, where the model is trained over massively distributed clients under the orchestration of a parameter…
cs.DC2023★ 26 cited
Differentially Private Federated Clustering over Non-IID Data
Yiwei Li, Shuai Wang, Chong-Yung Chi +1
In this paper, we investigate federated clustering (FedC) problem, that aims to accurately partition unlabeled data samples distributed over massive clients into finite clusters un…