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Federated Deep Learning for Healthcare: A Practical Guide with Challenges and Opportunities - Advances in Smart Healthcare Technologies
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Federated Deep Learning for Healthcare: A Practical Guide with Challenges and Opportunities - Advances in Smart Healthcare Technologies
This book provides a practical guide to federated deep learning for healthcare including fundamental concepts, framework, and the applications comprising of domain adaptation, model distillation, and transfer learning. It covers concerns in model fairness, data bias, regulatory compliance, and ethical dilemmas.
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Pendiente de lanzamiento | 20 de julio de 2026 |
| ISBN13 | 9781032694863 |
| Editores | Taylor & Francis Ltd |
| Páginas | 252 |
| Dimensiones | 150 × 220 × 10 mm · 490 g |
| Editor | Aung, Si Thu (Univ at Buffalo, USA) |
| Editor | Hassan, Md. Mehedi (Khulna Uni, Bangladesh) |
| Editor | Kaur, Amandeep (Chitkara University, India) |
| Editor | Kaushal, Chetna (Chitkara University, India) |
