7 citations · 7 across the 1 of their papers we have counts for
2 papers
cs.LG2022★ 7 cited
Federated Stochastic Primal-dual Learning with Differential Privacy
Yiwei Li, Shuai Wang, Tsung-Hui Chang +1
Federated learning (FL) is a new paradigm that enables many clients to jointly train a machine learning (ML) model under the orchestration of a parameter server while keeping the l…
cs.LG2020
Federated Matrix Factorization: Algorithm Design and Application to Data Clustering
Shuai Wang, Tsung-Hui Chang
Recent demands on data privacy have called for federated learning (FL) as a new distributed learning paradigm in massive and heterogeneous networks. Although many FL algorithms hav…