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.

• Format: Hardcover
• Language: English
• ISBN: 177491638X
• ISBN13: 9781774916384
• Release Date: September 2024
• Publisher: Apple Academic Press
• Length: 334 Pages
• Weight: 1.48 lbs.
• Dimensions: 0.8" x 6.1" x 9.2"