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Federated Learning
ISBN/GTIN

Federated Learning

Principles, Paradigms, and Applications
BookHardcover
Ranking2675in
CHF239.00

Description

Explains federated learning and how it integrates AI technologies allowing multiple collaborators to build a robust machine-learning model using a large dataset. Describes benefits of federated learning, covering data privacy, data security, data access rights etc. Analyses common challenges, and attack strategies affecting FL systems.
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Details

ISBN/GTIN978-1-77491-638-4
Product TypeBook
BindingHardcover
Publishing date20/09/2024
Edition1. A.
Pages334 pages
LanguageEnglish
SizeWidth 156 mm, Height 234 mm
Weight540 g
IllustrationsFarb., s/w. Abb.
Article no.50163761
CatalogsBuchzentrum
Data source no.46351445
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Author

Jayakrushna Sahoo, PhD, is associated with the Indian Institute of Information Technology, Kottayam, where he serves as the Head of Computer Science and Engineering department. Before this, he worked with BML Munjal University, Gurgaon, India, as an Assistant Professor in the Department of Computer Science and Engineering. Dr. Sahoo has also worked as an ad hoc faculty at the National Institute of Technology, Jamshedpur, India. His publications have appeared in many reputed journals over the years. His research interests include data mining, machine learning, and federated learning. With his vast experience in research, he has been guiding several PhD scholars and has been associated with some of the country´s premier institutions. He has also worked in the capacity of resource person and technical panel member and has headed several international conferences in India. Mariya Ouaissa, PhD, is a Professor in cybersecurity and networks as well as a research associate and practitioner with industry experience as a networks and telecoms engineer. She is a Co-Founder and IT Consultant at the IT Support and Consulting Center. She was formerly affiliated with the School of Technology of Meknes, Morocco. She is an expert reviewer with the Academic Exchange Information Centre (AEIC) and a brand ambassador with Bentham Science. She serves on technical programs and organizing committees of conferences, symposiums, and workshops in her field and is also a reviewer for numerous international journals. Dr. Ouaissa has published book chapters and research papers in international journals, and conferences and has edited several books and has guest editied several special journal issues. Akarsh K. Nair is a Doctoral Researcher at the Indian Institute of Information Technology, Kottayam, India, with a specialization in distributed learning, machine learning, federated learning, and edge intelligence. Mr. Nair has worked as an Assistant Professor in the Department of Computer Science at TEC College, Palakkad, India. He is also associated with iHub HCI Foundation of IIT, Himachal Pradesh, India, as a doctoral fellow. He has published several research articles in reputed scientific journals and international platforms. He has also acted as a reviewer for many prestigious scientific journals.

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