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By: (Edited by) A. Prasanth , (Edited by) Balasubramaniam S , (Edited by) Danilo Pelusi , (Edited by) Rajesh Kumar ) Dhanaraj , (Edited by) S. Jayachitra
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This book explores the applications and advancements of Federated Learning across diverse sectors, focusing on its integration with cutting-edge technologies like IoT, AI, Blockchain, and Digital Twins. Real-world examples and case studies illustrate Federated Learning’s role in healthcare, smart cities, and maritime applications while addressing critical concerns such as security. It provides insights into Federated Learning''s transformative potential, offering practical strategies for intelligent systems and sustainable environments.
It covers fundamental concepts, practical implementations, and trends to serve as a reference resource for professionals and researchers in the field.
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