Main Federated Learning Over Wireless Edge Networks

Federated Learning Over Wireless Edge Networks

, , , ,
4.0 / 5.0
0 comments

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.


Request Code : ZLIBIO3405107
Categories:
Year:
2022
Publisher:
Springer
Language:
English
Pages:
174
ISBN 10:
3031078373
ISBN 13:
9783031078378
ISBN:
3031078373,9783031078378
Series:
Wireless Networks

Comments of this book

There are no comments yet.
Authentication required

You must log in to post a comment.

Log in