SiftFL: Scheduling-Based Robust Backdoor Detection in Federated Learning
Backdoor attacks pose a serious threat to federated learning, particularly when client data are non-IID and the attacker ratio is high. FilterFL is a recent server-side defense that employs two Conditional Generative Adversarial Networks (CGANs) to generate synthetic samples and identify malicious client models without...