Pastāsti draugiem par šo preci:
Handbook on Federated Learning: Advances, Applications and Opportunities
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.
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2025. gada 26. jūnijs |
| ISBN13 | 9781032471631 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 356 |
| Izmēri | 150 × 220 × 10 mm · 620 g |
| Valoda | Angļu |
| Redaktors | Anand, A. Jose (KCG College of Technology, India) |
| Redaktors | Kavitha, R. (Vel Tech Rangarajan Dr.Sagunthala R & D Ins of Sc and Tech, India) |
| Redaktors | Krishnan, Saravanan (Anna Uni. Regional Campus) |
| Redaktors | Srinivasan, R. (VelTech Rangarajan Dr Sagunthala R&D Ins of Sci and Tech, India) |
| Redaktors | Suresh, S. (KPR institute of Engineering and Technology, India) |