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books
| book details |
Federated Learning Over Wireless Edge Networks
By (author) Wei Yang Bryan Lim, By (author) Jer Shyuan Ng, By (author) Zehui Xiong, By (author) Dusit Niyato, By (author) Chunyan Miao
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| on special |
normal price: R 3 462.95
Price: R 3 289.95
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| book description |
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.
| product details |
Normally shipped |
Publisher | Springer International Publishing AG
Published date | 29 Sep 2022
Language |
Format | Hardback
Pages | 165
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-0310-7837-8
Readership Age |
BISAC | technology / telecommunications
| other options |
Normally shipped |
Readership Age |
Normal Price | R 4 386.95
Price | R 4 166.95
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