FedCom: A Byzantine-Robust Local Model Aggregation Rule Using Data Commitment for Federated Learning

Bo Zhao, Peng Sun, Liming Fang +2

Federated learning (FL) is a promising privacy-preserving distributed machine learning methodology that allows multiple clients (i.e., workers) to collaboratively train statistical…