FedGuard: A Diverse-Byzantine-Robust Mechanism for Federated Learning with Major Malicious Clients

Haocheng Jiang, Hua Shen, Jixin Zhang +2

Federated learning is a distributed training framework vulnerable to Byzantine attacks, particularly when over 50% of clients are malicious or when datasets are highly non-independ…