Communication Efficient Federated Learning for Wireless Networks

This book provides a comprehensive study of Federated Learning (FL) over wireless networks. It consists of three main parts: (a) Fundamentals and preliminaries of FL, (b) analysis and optimization of FL over wireless networks, and (c) applications of wireless FL for Internet-of-Things systems. In pa...

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書誌詳細
主要な著者:	Chen, Mingzhe (著者), Cui, Shuguang (著者)
団体著者:	SpringerLink (Online service)
フォーマット:	電子媒体 eBook
言語:	英語
出版事項:	Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
版:	1st ed. 2024.
シリーズ:	Wireless Networks,
主題:	Computer networks . Machine learning. Wireless communication systems. Mobile communication systems. Computer Communication Networks. Machine Learning. Wireless and Mobile Communication.
オンライン･アクセス:	https://doi.org/10.1007/978-3-031-51266-7
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

目次:

Part. I. Fundamentals and Preliminaries of Federated Learning
Chapter. 1. Introduction
Chapter. 2. Fundamentals and Preliminaries of Federated Learning
Chapter. 3. Resource Management for Federated Learning
Chapter. 4. Quantization for Federated Learning
Chapter. 5. Federated Learning with Over the Air Computation
Chapter. 6. Federated Learning for Autonomous Vehicles Control
Chapter. 7. Federated Learning for Mobile Edge Computing.

Communication Efficient Federated Learning for Wireless Networks

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