FedCC: Robust Federated Learning against Model Poisoning Attacks

no code implementations • 5 Dec 2022 • Hyejun Jeong, Hamin Son, Seohu Lee, Jayun Hyun, Tai-Myoung Chung

The experiment results on FedCC demonstrate that it mitigates untargeted and targeted model poisoning or backdoor attacks while also being effective in non-Independently and Identically Distributed data environments.

Federated Learning Model Poisoning