Hammer and Anvil: Toward a Theory of Backdoors in Federated Learning
arXiv:2509.08089v2 Announce Type: replace
Abstract: Federated Learning (FL) enables distributed model training but is vulnerable to backdoor attacks, where malicious clients embed attacker-controlled behaviors into the global model. Existing defenses …