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Federated Learning: Principles, Paradigms, and Applications
Federated Learning: Principles, Paradigms, and Applications
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- More about Federated Learning: Principles, Paradigms, and Applications
Format: Hardback
Length: 334 pages
Publication date: 20 September 2024
Publisher: Apple Academic Press Inc.
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.
Weight: 453g
Dimension: 234 x 156 (mm)
ISBN-13: 9781774916384
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