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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Communication Efficient Federated Learning for Wireless Networks

Communication Efficient Federated Learning for Wireless Networks

Chen, Mingzhe
Cui, Shuguang

Hardcover

Series: Wireless Networks

Technology & EngineeringGeneral ComputersNetworking

ISBN10: 3031512650
ISBN13: 9783031512650
Publisher: Springer
Published: Feb 20 2024
Pages: 179
Weight: 0.99
Height: 0.50 Width: 6.14 Depth: 9.21
Language: English

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 particular, in the first part, the authors provide a detailed overview on widely-studied FL framework. In the second part of this book, the authors comprehensively discuss three key wireless techniques including wireless resource management, quantization, and over-the-air computation to support the deployment of FL over realistic wireless networks. It also presents several solutions based on optimization theory, graph theory and machine learning to optimize the performance of FL over wireless networks. In the third part of this book, the authors introduce the use of wireless FL algorithms for autonomous vehicle control and mobile edge computing optimization.

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