XFED: Non-Collusive Model Poisoning Attack Against Byzantine-Robust Federated Classifiers
arXiv:2604.09489v1 Announce Type: cross
Abstract: Model poisoning attacks pose a significant security threat to Federated Learning (FL). Most existing model poisoning attacks rely on collusion, requiring adversarial clients to coordinate by exchanging…