CHF 270.00

Applications of Federated Learning in Technological Advancements
Use Cases and Applications

English · Hardback

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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.


About the author










S. Jayachitra, presently working as an Assistant Professor at PSNA College of Engineering and Technology, Dindigul, India. She received B.E. degree in Electronics and Communication Engineering from Anna University, Chennai and M.E degree in Communication Systems from Anna University, Chennai and also pursuing her Ph.D degree in Information and Communication Engineering from Anna University, Chennai, India. She has published more than 25 research articles in reputed International Journals which are indexed in Scopus. She has won two best paper awards and been granted 22 patents.
A. Prasanth received the B.E degree from Anna University, Chennai and the M.E degree in Computer Science and Engineering (with specialization in Networks) from Anna University, Chennai and also received a Ph.D. degree in Information and Communication Engineering from Anna University, Chennai, India. He served as a Recognized Ph.D. Supervisor. Five Scholars are pursuing their research, and two completed their Ph.D under his guidance. His name was included in the World's Top 2% of Scientists list in the years 2023 and 2024.
Rajesh Kumar Dhanaraj is a distinguished Professor at Symbiosis International (Deemed University) in Pune, India. Before joining Symbiosis International University, he served as a Professor at the School of Computing Science & Engineering at Galgotias University in Greater Noida, India. His academic and research achievements have earned him a place among the Top 2% of scientists globally.
Balasubramaniam S (IEEE Senior Member) is working as an Assistant Professor in School of Computer Science and Engineering, Kerala University of Digital Sciences, Innovation and Technology (Formerly IIITM-K), Digital University Kerala, Thiruvananthapuram, Kerala, India. He has totally around 15+ years of experience in teaching, research and industry. He has completed his Post Doctoral Research in Department of Applied Data Science, Noroff University College, Kristiansand, Norway. He holds a Ph.D degree in Computer Science and Engineering from Anna University, Chennai, India in 2015.
Danilo Pelusi received the degree in Physics from the University of Bologna (Italy) and the Ph.D. degree in Computational Astrophysics from the University of Teramo (Italy). Currently, he is an Associate Professor of Computer Science at the Department of Communication Sciences, University of Teramo. He has worked as the editor of books by reputed publishers, and Associate Editor of IEEE Transactions on Emerging Topics in Computational Intelligence (2017-2020), IEEE Access (2018-present), IEEE Transactions on Neural Networks and Learning Systems (2022-present) and IEEE Transactions on Intelligent Transportation Systems (2022-present).


Product details

Assisted by Danilo Pelusi (Editor), Rajesh Kumar Dhanaraj (Editor), A. Prasanth (Editor), Balasubramaniam S (Editor), S. Jayachitra (Editor)
Authors S. (Psna College of Engineering and Te Jayachitra, S. (Psna College of Engg and Tech Jayachitra
Publisher Taylor & Francis Ltd.
 
Content Book
Product form Hardback
Publication date 02.09.2025
Subject Humanities, art, music > Linguistics and literary studies > General and comparative linguistics
Natural sciences, medicine, IT, technology > IT, data processing > Data communication, networks
 
EAN 9781032859514
ISBN 978-1-0-3285951-4
Pages 174
 
Subjects Software Engineering, Data Mining, Artificial Intelligence, COMPUTERS / User Interfaces, COMPUTERS / Machine Theory, Information technology: general issues, Automatic control engineering, Computational Linguistics, Computer architecture & logic design, Supercomputers, Computer networking & communications, Information technology: general topics, Computer architecture and logic design, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Internet / Online Safety & Privacy, COMPUTERS / Data Science / Machine Learning, Computational and corpus linguistics, Computer networking and communications, COMPUTERS / Internet of Things (IoT), Real time operating systems, COMPUTERS / Internet / Application Development, Unmanned Aerial Vehicles, Digital and Information technology: general topics, Distributed Machine Learning, privacy preserving analytics, advanced federated optimisation strategies, 5G 6G communications, edge intelligence systems, model optimisation techniques
 

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