DSFL claims a lightweight dual-server federated learning protocol that hides updates with additive noise and filters Byzantine clients using group deviation scores.
Domain adaptation: Challenges, methods, datasets, and applications,
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DSFL: A Dual-Server Byzantine-Resilient Federated Learning Framework via Group-Based Secure Aggregation
DSFL claims a lightweight dual-server federated learning protocol that hides updates with additive noise and filters Byzantine clients using group deviation scores.