Asynchronous Hierarchical Federated Learning Based on Bandwidth Allocation and Client Scheduling

Asynchronous Hierarchical Federated Learning Based on Bandwidth Allocation and Client Scheduling

Federated learning (FL) offers a promising solution in edge computing to overcome bandwidth limitations and privacy concerns associated with traditional cloud-based training. However, current FL methods often suffer from transmission delay and excessive communication resource usage. In this paper, w...

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Bibliographic Details
Main Authors: Jian Yang, Yan Zhou, Wanli Wen, Jin Zhou, Qingrui Zhang
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Applied Sciences
Subjects:
federated learning
resource allocation
client selection
Online Access:https://www.mdpi.com/2076-3417/13/20/11134

Internet

https://www.mdpi.com/2076-3417/13/20/11134

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