Backdoors Leave Structural Traces: FedMAST for Backdoor Detection and Containment in Federated Learning

Federated learning enables distributed training of a shared model without requiring clients to share their raw data. However, its reliance on the integrity of the client-submitted updates exposes the global model to stealthy backdoor poisoning. Although existing defenses often inspect isolated evide