Device scheduling and assignment in hierarchical federated learning for Internet of Thing
Federated Learning (FL) is a promising machine learning approach for Internet of Things (IoT), but it has to address network congestion problems when the population of IoT devices grows. Hierarchical FL (HFL) alleviates this issue by distributing model aggregation to multiple edge servers. Neverthel...
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格式: | Article |
語言: | English |
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2024
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在線閱讀: | https://hdl.handle.net/10356/176959 |
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