A Federated Generalized Expectation-Maximization Algorithm for Mixture Models with an Unknown Number of Components

Michael Ibrahim, Nagi Gebraeel, Weijun Xie

We study the problem of federated clustering when the total number of clusters $K$ across clients is unknown, and the clients have heterogeneous but potentially overlapping cluster…