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Advances in Distributed and Federated Learning: Algorithms and Applications
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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.
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Pendiente de lanzamiento | 28 de enero de 2027 |
| ISBN13 | 9781041139942 |
| Editores | Taylor & Francis Ltd |
| Páginas | 260 |
| Dimensiones | 150 × 220 × 20 mm · 553 g (Peso (estimado)) |
| Editor | Bhattacharyya, Debnath (KL University, KLEF, India) |
| Editor | Narisetty, Nirmala Jyothi |
| Editor | Potluri, Sirisha |
