Cognition-Driven Semi-Synchronous Federated Learning with Entropy-Aware Client Scheduling in Heterogeneous Edge Networks
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DOI: 10.1109/tccn.2025.3631050
Abstract: With rapid proliferation of mobile and embedded devices in heterogeneous communication environments, federated learning (FL) emerged as a key paradigm for enabling privacy-preserving distributed intelligence. However, conventional synchronous and asynchronous FL frameworks often suffer degraded… read more here.
Keywords: driven semi; semi synchronous; client scheduling; client ... See more keywords