Protecting Federated Learning from Extreme Model Poisoning Attacks via Multidimensional Time Series Anomaly Detection

no code implementations • 29 Mar 2023 • Edoardo Gabrielli, Dimitri Belli, Vittorio Miori, Gabriele Tolomei

Current defense mechanisms against model poisoning attacks in federated learning (FL) systems have proven effective up to a certain threshold of malicious clients.

Federated Learning Time Series