Federated Learning
Foundations and Applications
$563.40
- Paperback
366 pages
- Release Date
1 June 2026
Summary
Federated Learning is a machine learning technique that trains an algorithm across multiple decentralized edge devices or servers holding local data samples, without exchanging their data. This approach addresses critical data privacy and security concerns by keeping the data localized.
Key Concepts:
- Decentralization: Unlike traditional centralized machine learning, where all data is collected in one place, federated learning operates on…
Book Details
| ISBN-13: | 9780443444333 |
|---|---|
| ISBN-10: | 0443444331 |
| Author: | Rajkumar Buyya, Anwesha Mukherjee, Sajal K. Das |
| Publisher: | Elsevier Science & Technology |
| Imprint: | Morgan Kaufmann Publishers In |
| Format: | Paperback |
| Number of Pages: | 366 |
| Release Date: | 1 June 2026 |
| Weight: | 990g |
| Dimensions: | 216mm x 276mm |
Rajkumar Buyya
Dr. Rajkumar Buyya
Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also the founding CEO of Manjrasoft, a spin-off company of the University that commercializes its innovations in Cloud Computing. Dr. Buyya has authored over 650 publications and seven textbooks, including Mastering Cloud Computing. He is recognized as one of the most highly-cited authors worldwide in Computer Science and Software Engineering. A scientometric analysis ranked him as the World’s Top-Cited and Most-Productive Author in Cloud Computing. He has been a Web of Science “Highly Cited Researcher” for four consecutive years since 2016 and received the Scopus Researcher of the Year 2017 award with an Excellence in Innovative Research Award from Elsevier. He has also received “Lifetime Achievement Awards” from two Indian universities and the “Best of the World” award in the Computing Systems field by The Australian 2019 Research Review.
Software technologies for Grid, Cloud, and Fog computing developed under Dr. Buyya’s leadership are in use at academic institutions and commercial enterprises in 40 countries. He has established and led key community activities, including serving as the foundation Chair of the IEEE Technical Committee on Scalable Computing and five IEEE/ACM conferences. His contributions and international research leadership were recognized with the “2009 IEEE Medal for Excellence in Scalable Computing” from the IEEE Computer Society TCSC. Manjrasoft’s Aneka Cloud technology, developed under his leadership, received the “Frost & Sullivan New Product Innovation Award.”
Dr. Buyya served as the founding Editor-in-Chief of the IEEE Transactions on Cloud Computing and is currently the Editor-in-Chief of Software: Practice and Experience.
Dr. Anwesha Mukherjee
Received a B. Tech in Information Technology from Kalyani Govt. Engineering College in 2009 and an M. Tech in Information Technology from West Bengal University of Technology in 2011, where she was first class first. She received the Inspire Fellowship from the Department of Science & Technology, Govt. of India, to pursue her Ph.D. in Computer Science and Engineering from West Bengal University of Technology, which she completed in 2018. Dr. Mukherjee worked as a Research Associate in the computer science department of IIT Kharagpur and is currently an Assistant Professor and Head of the Department of Computer Science at Mahishadal Raj College, West Bengal, India. She is a Research Visitor in the CLOUD Lab at The University of Melbourne.
Her research interests include IoT, Fog computing, mobile networks, geospatial informatics, and mobile cloud computing. She has received the Young Scientist Award from the International Union of Radio Science in 2014, 2020, and 2021. Dr. Mukherjee has over eighty research publications in international journals, conference proceedings, and book chapters, and has authored three edited books.
Dr. Sajal K. Das
Curators’ Distinguished Professor and Daniel St. Clair Endowed Chair in Computer Science at Missouri University of Science and Technology, where he served as Chair of the Computer Science Department from 2013-2017. He also served the US National Science Foundation (NSF) as a Program Director in the Computer and Network Systems Division. Dr. Das’s interdisciplinary research spans cyber-physical systems, IoT, cybersecurity, machine learning, data science, wireless and sensor networks, mobile and pervasive computing, smart environments, parallel/cloud/edge computing, social and biological networks, and applied graph and game theory.
He has published extensively in top-tier venues, with over 350 journal articles and more than 450 peer-reviewed conference papers. He coauthored four books, 59 book chapters, and holds 5 US patents. He directed over $24 million in funded research projects. His h-index is 99 with more than 42,000 citations.
Dr. Das is the founding Editor-in-Chief of Elsevier’s Pervasive and Mobile Computing journal and serves as an Associate Editor for several IEEE and ACM journals. He is a founder of IEEE PerCom, WoWMoM, SMARTCOMP, and ACM ICDCN conferences, and has served as General and Program Chair for numerous conferences. He has received 12 Best Paper Awards and numerous awards for teaching, mentoring, and research, including the IEEE Computer Society’s Technical Achievement Award for pioneering contributions to sensor networks and mobile computing, and the University of Missouri System President’s Award for Sustained Career Excellence.
Dr. Das has mentored and graduated 12 postdoctoral fellows, 51 Ph.D. scholars, 31 MS thesis students, and numerous undergraduate research students. He is currently supervising 9 Ph.D. students and 4 postdocs. He is a Distinguished Alumnus of the Indian Institute of Science, Bangalore, and a Fellow of the IEEE, the National Academy of Inventors (NAI), and the Asia-Pacific Artificial Intelligence Association (AAIA).
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