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Split Federated Learning for Secure IoT Applications: Concepts, frameworks, applications and case studies - Security
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Split Federated Learning for Secure IoT Applications: Concepts, frameworks, applications and case studies - Security
This book will review cutting edge technologies and advanced research, which can realize and evaluate the effectiveness and advantages of SplitFed learning for advancing and securing IoTs.
350 pages
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 15 de octubre de 2024 |
| ISBN13 | 9781839539459 |
| Editores | Institution of Engineering and Technolog |
| Páginas | 285 |
| Dimensiones | 150 × 220 × 20 mm · 580 g |
| Editor | Hukkeri, Geetabai S. (Assistant Professor, Manipal Institute of Technology Bengaluru, Department of Computer Science and Engineering, India) |
| Editor | Jhanjhi, N.Z. (Professor, Taylor's University, Faculty of Innovation & Technology, Malaysia) |
| Editor | Lin, Hong (Professor in Computer Science, University of Houston, Downtown, TX, USA) |
| Editor | Lokesh, Gururaj Harinahalli (Associate Professor, Manipal Institute of Technology Bengaluru, Department of Information Technology, India) |