Federated Learning Over Wireless Edge Networks 1

Data & IT

Federated Learning Over Wireless Edge Networks

Wei Yang Bryan Lim • Jer Shyuan Ng • Zehui Xiong • Dusit Niyato • Chunyan Miao

Pocket

1519:-

Funktionen begränsas av dina webbläsarinställningar (t.ex. privat läge).

Uppskattad leveranstid 10-15 arbetsdagar

Fri frakt för medlemmar vid köp för minst 249:-

Andra format:

Inbunden 1519:-

165 sidor
2023

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.

Författare: Wei Yang Bryan Lim, Jer Shyuan Ng, Zehui Xiong, Dusit Niyato, Chunyan Miao
Format: Pocket/Paperback
ISBN: 9783031078408
Språk: Engelska
Antal sidor: 165
Utgivningsdatum: 2023-10-02
Förlag: Springer International Publishing AG