Federated Learning: Principles, Paradigms, and Applications - - Books - Apple Academic Press Inc. - 9781774916384 - September 20, 2024
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Federated Learning: Principles, Paradigms, and Applications

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Federated Learning: Principles, Paradigms, and Applications

Explains federated learning and how it integrates AI technologies allowing multiple collaborators to build a robust machine-learning model using a large dataset. Describes benefits of federated learning, covering data privacy, data security, data access rights etc. Analyses common challenges, and attack strategies affecting FL systems.

321 pages, 7 Illustrations, color; 72 Illustrations, black and white

Media Books     Hardcover Book   (Book with hard spine and cover)
Released September 20, 2024
ISBN13 9781774916384
Publishers Apple Academic Press Inc.
Pages 334
Dimensions 453 g
Language English  
Editor Nair, Akarsh K.
Editor Ouaissa, Mariya
Editor Sahoo, Jayakrushna