Abstract: Growing data privacy concerns in smart applications have spurred the development of Federated Learning (FL), a novel approach enabling heterogeneous clients to jointly train a global model ...
Abstract: Data aggregation management is paramount in data-driven distributed systems. Conventional solutions premised on centralized networks grapple with security challenges concerning authenticity, ...
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