Device scheduling and assignment in hierarchical federated learning for Internet of Thing

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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Bibliographic Details
Main Authors: Zhang, Tinghao, Lam, Kwok-Yan, Zhao, Jun
Other Authors: College of Computing and Data Science
Format: Journal Article
Language:English
Published: 2024
Subjects:
Computer and Information Science
Deep reinforcement learning
Digital trust
Online Access:https://hdl.handle.net/10356/176959

Internet

https://hdl.handle.net/10356/176959

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