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Cookie akzeptieren![Lim, Wei Yang Bryan / Ng, Jer Shyuan et al. Federated Learning Over Wireless Edge Networks. Springer International Publishing, 2022.](https://eichendorff21.de/cdata/tKCH_iZ4PTM9_TzV_Y2M7HQZ3gM=/300x0/9783031078378.png)
Wei Yang Bryan Lim / Jer Shyuan Ng / Chunyan Miao / Dusit Niyato / Zehui Xiong
Federated Learning Over Wireless Edge Networks
- Springer International Publishing
- 2022
- Gebunden
- 184 Seiten
- ISBN 9783031078378
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
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