Abstract: The rapid development of the Internet of Things generates massive data volume, placing unprecedented demands on real-time task processing. This remains a significant challenge in effectively ...
Abstract: Hierarchical Federated Learning (HFL) has emerged as a promising paradigm for distributed machine learning in edge computing environments. By introducing intermediate edge servers between ...
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