2024
Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective
AAAI 2024technical
Existing approaches defend against backdoor attacks in federated learning (FL) mainly through a) mitigating the impact of infected models, or b) excluding infected models. The former negatively impacts model accuracy, while the latter usually relies on globally clear boundaries between benign and in…