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.

• | Author: Jayakrushna Sahoo, Mariya Ouaissa, Akarsh K Nair
• | Publisher: Apple Academic Press
• | Publication Date: Sep 20, 2024
• | Number of Pages: NA pages
• | Language: English
• | Binding: Hardcover
• | ISBN-10: 177491638X
• | ISBN-13: 9781774916384