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Handbook on Federated Learning: Advances, Applications and Opportunities

Contributor(s): Krishnan, Saravanan (Editor), Anand, A Jose (Editor), Srinivasan, R (Editor)

ISBN: 9781032471631

Publisher: CRC Press

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Pub Date: June 27, 2025

Lexile Code: 0000

Features: Illustrated

Target Age Group: NA to NA

Physical Info: 0.75" H x 9.21" L x 6.14" W ( 1.12 lbs) 356 pages

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Description:

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.

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