Federated Learning
Federated Learning
Principles, Paradigms, and Applications
Contenu
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.
Informations bibliographiques
septembre 2024, 334 pages, Anglais
Taylor and Francis
978-1-77491-638-4