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Federated Learning for Internet of Medical Things: Concepts, Paradigms, and Solutions
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Federated Learning for Internet of Medical Things: Concepts, Paradigms, and Solutions
The book intends to present emerging Federated Learning (FL) based architectures, frameworks, and models in Internet-of-Medical Things (IoMT) applications. It intends to build up onto the basics of healthcare industry, the current data sharing requirements, and security and privacy issues in medical data sharing.
248 pages, 104 Line drawings, color; 25 Line drawings, black and white; 104 Illustrations, color; 25
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 16 de junio de 2023 |
| ISBN13 | 9781032300764 |
| Editores | Taylor & Francis Ltd |
| Páginas | 290 |
| Dimensiones | 242 × 162 × 23 mm · 576 g |
| Lengua | Inglés |
| Editor | Bhattacharya, Pronaya |
| Editor | Tanwar, Sudeep (Nirma University, Ahmedanad, India) |
| Editor | Verma, Ashwin |
