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Advances in Distributed and Federated Learning: Algorithms and Applications
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R 2,214
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Expected delivery Feb 5 - 10, 2027
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Advances in Distributed and Federated Learning: Algorithms and Applications
This book explores recent developments in distributed and federated learning, covering scalable algorithms, architectures, and intelligent applications. It adopts a practical approach by presenting applications in IoT, smart cities, cybersecurity, intelligent surveillance, and autonomous systems, and also provides the theoretical background.
| Media | Books Hardcover Book (Book with hard spine and cover) |
| To be released | January 28, 2027 |
| ISBN13 | 9781041139942 |
| Publishers | Taylor & Francis Ltd |
| Pages | 260 |
| Dimensions | 150 × 220 × 20 mm · 553 g (Weight (estimated)) |
| Editor | Bhattacharyya, Debnath (KL University, KLEF, India) |
| Editor | Narisetty, Nirmala Jyothi |
| Editor | Potluri, Sirisha |
