DSFL claims a lightweight dual-server federated learning protocol that hides updates with additive noise and filters Byzantine clients using group deviation scores.
A review on traditional machine learning and deep learning models for wbcs classification in blood smear images,
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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.