FDR-SVM: A Federated Distributionally Robust Support Vector Machine via a Mixture of Wasserstein Balls Ambiguity Set

Michael Ibrahim, Heraldo Rozas, Nagi Gebraeel +1

We study a federated classification problem over a network of multiple clients and a central server, in which each client's local data remains private and is subject to uncertainty…