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Handbook on Federated Learning: Advances, Applications and Opportunities
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Handbook on Federated Learning: Advances, Applications and Opportunities
Federated learning is a Distributed Machine Learning model that has been used in many applications today. Most edge devices can execute models with local dataset since their computation power is unutilized.
356 pages, 17 Tables, black and white; 14 Illustrations, color; 77 Illustrations, black and white
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | December 15, 2023 |
| ISBN13 | 9781032471624 |
| Publishers | Taylor & Francis Ltd |
| Pages | 356 |
| Dimensions | 150 × 220 × 20 mm · 830 g |
| Language | English |
| Editor | Anand, A. Jose (KCG College of Technology, India) |
| Editor | Kavitha, R. (Vel Tech Rangarajan Dr.Sagunthala R & D Ins of Sc and Tech, India) |
| Editor | Krishnan, Saravanan (Anna Uni. Regional Campus) |
| Editor | Srinivasan, R. (VelTech Rangarajan Dr Sagunthala R&D Ins of Sci and Tech, India) |
| Editor | Suresh, S. (KPR institute of Engineering and Technology, India) |
