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Federated Learning : Principles, Paradigms, and Applications
Overview
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.
This item is Non-Returnable
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Details
- ISBN-13: 9781774916384
- ISBN-10: 177491638X
- Publisher: Apple Academic Press
- Publish Date: September 2024
- Dimensions: 9.21 x 6.14 x 0.81 inches
- Shipping Weight: 1.48 pounds
- Page Count: 334
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