Dual-side Control for Coordinated Attack Detection in Federated Learning
Federated Learning (FL) enables collaborative model training while preserving data privacy. However, it remains highly vulnerable to poisoning attacks, particularly coordinated label- flipping attacks. In this paper, we propose DualFed, a dual-side defense framework for detecting coordinated poisoning behaviors in FL....