FedNIA: Noise-Induced Activation Analysis for Mitigating Data Poisoning in Federated Learning.

arXiv:2502.16396v2 Announce Type: replace-cross Abstract: Federated learning systems are increasingly threatened by data poisoning attacks, where malicious clients compromise global models by contributing tampered updates. Existing defenses often rely on impra