TrojanDam defends federated learning against backdoors by having the server repeatedly train the global model on out-of-distribution images before sending it to clients.
Provably secure federated learning against malicious clients
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TrojanDam: Detection-Free Backdoor Defense in Federated Learning through Proactive Model Robustification utilizing OOD Data
TrojanDam defends federated learning against backdoors by having the server repeatedly train the global model on out-of-distribution images before sending it to clients.