Split Federated Learning for Secure IoT Applications: Concepts, frameworks, applications and case studies - Security - - Books - Institution of Engineering and Technolog - 9781839539459 - November 1, 2024
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Split Federated Learning for Secure IoT Applications: Concepts, frameworks, applications and case studies - Security

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Split Federated Learning for Secure IoT Applications: Concepts, frameworks, applications and case studies - Security

This book will review cutting edge technologies and advanced research, which can realize and evaluate the effectiveness and advantages of SplitFed learning for advancing and securing IoTs.

350 pages

Media Books     Hardcover Book   (Book with hard spine and cover)
To be released November 1, 2024
ISBN13 9781839539459
Publishers Institution of Engineering and Technolog
Pages 285
Dimensions 580 g
Editor Hukkeri, Geetabai S. (Assistant Professor, Manipal Institute of Technology Bengaluru, Department of Computer Science and Engineering, India)
Editor Jhanjhi, N.Z. (Professor, Taylor's University, Faculty of Innovation & Technology, Malaysia)
Editor Lin, Hong (Professor in Computer Science, University of Houston, Downtown, TX, USA)
Editor Lokesh, Gururaj Harinahalli (Associate Professor, Manipal Institute of Technology Bengaluru, Department of Information Technology, India)