Handbook on Federated Learning: Advances, Applications and Opportunities -  - Books - Taylor & Francis Ltd - 9781032471631 - June 26, 2025
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Handbook on Federated Learning: Advances, Applications and Opportunities

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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.

Media Books     Paperback Book   (Book with soft cover and glued back)
Released June 26, 2025
ISBN13 9781032471631
Publishers Taylor & Francis Ltd
Pages 356
Dimensions 150 × 220 × 10 mm   ·   620 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)

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