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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
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | June 16, 2023 |
| ISBN13 | 9781032300764 |
| Publishers | Taylor & Francis Ltd |
| Pages | 290 |
| Dimensions | 242 × 162 × 23 mm · 576 g |
| Language | English |
| Editor | Bhattacharya, Pronaya |
| Editor | Tanwar, Sudeep (Nirma University, Ahmedanad, India) |
| Editor | Verma, Ashwin |
