Federated Learning Over Wireless Edge Networks

Federated Learning Over Wireless Edge Networks

  • Wei Yang Bryan Lim
  • Jer Shyuan Ng
  • Zehui Xiong
  • Dusit Niyato
  • Chunyan Miao
Publisher:Springer NatureISBN 13: 9783031078385ISBN 10: 3031078381

Paperback & Hardcover deals ―

Amazon IndiaGOFlipkart GOSnapdealGOSapnaOnlineGOJain Book AgencyGOBooks Wagon₹6,898Book ChorGOCrosswordGODC BooksGO

e-book & Audiobook deals ―

Amazon India GOGoogle Play Books ₹79.2Audible GO

* Price may vary from time to time.

* GO = We're not able to fetch the price (please check manually visiting the website).

Know about the book -

Federated Learning Over Wireless Edge Networks is written by Wei Yang Bryan Lim and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 3031078381 (ISBN 10) and 9783031078385 (ISBN 13).

This book first presents a tutorial on Federated Learning (FL) and its role in enabling Edge Intelligence over wireless edge networks. This provides readers with a concise introduction to the challenges and state-of-the-art approaches towards implementing FL over the wireless edge network. Then, in consideration of resource heterogeneity at the network edge, the authors provide multifaceted solutions at the intersection of network economics, game theory, and machine learning towards improving the efficiency of resource allocation for FL over the wireless edge networks. A clear understanding of such issues and the presented theoretical studies will serve to guide practitioners and researchers in implementing resource-efficient FL systems and solving the open issues in FL respectively.