Federated Learning
Federated Learning
Principles, Paradigms, and Applications
Inhalt
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.
Bibliografische Angaben
September 2024, 334 Seiten, Englisch
Taylor and Francis
978-1-77491-638-4