EnsembleDistillationforRobustModelFusionin FederatedLearning

Federated Learning (FL) has emerged as an important machine learning paradigm in which a federation of clients participate in collaborative training of a centralized model [62, 51, 65, 8, 5, 42, 34]. The clients send their model parameters to the server but never their private training datasets, thereby ensuring abasic levelofprivacy.