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…