Split Federated Learning for Secure IoT Applications: Concepts, frameworks, applications and case studies
edited by Gururaj Harinahalli Lokesh, Geetabai S. Hukkeri, N.Z. Jhanjhi and Hong Lin
The Institution of Engineering and Technology, 2024
Cloth: 978-1-83953-945-9 | eISBN: 978-1-83724-382-2 (ePub) | eISBN: 978-1-83953-946-6 (PDF)
ABOUT THIS BOOK
New approaches in federated learning and split learning have the potential to significantly improve ubiquitous intelligence in internet of things (IoT) applications. In split federated learning, the machine learning model is divided into smaller network segments, with each segment trained independently on a server using distributed local client data.
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