FLAegis defends federated learning by SAX-transforming client updates, spectral-clustering them to filter malicious clients, and applying FFT-based robust aggregation, outperforming several baselines on FEMNIST.
Fedrdf: A robust and dynamic aggregation function against poisoning attacks in federated learning,
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FLAegis: A Two-Layer Defense Framework for Federated Learning Against Poisoning Attacks
FLAegis defends federated learning by SAX-transforming client updates, spectral-clustering them to filter malicious clients, and applying FFT-based robust aggregation, outperforming several baselines on FEMNIST.