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B01=Ahmed A Elngar
B01=Diego Oliva
B01=Valentina E. Balas
Category1=Non-Fiction
Category=GPJ
Category=TGP
Category=THR
Category=TJFM
Category=UBL
Category=UNF
Category=URD
Category=UYD
Category=UYF
Category=UYQ
COP=United Kingdom
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
softlaunch

Artificial Intelligence Using Federated Learning: Fundamentals, Challenges, and Applications

English

Federated machine learning is a novel approach to combining distributed machine learning, cryptography, security, and incentive mechanism design. It allows organizations to keep sensitive and private data on users or customers decentralized and secure, helping them comply with stringent data protection regulations like GDPR and CCPA.

Artificial Intelligence Using Federated Learning: Fundamentals, Challenges, and Applications enables training AI models on a large number of decentralized devices or servers, making it a scalable and efficient solution. It also allows organizations to create more versatile AI models by training them on data from diverse sources or domains. This approach can unlock innovative use cases in fields like healthcare, finance, and IoT, where data privacy is paramount.

The book is designed for researchers working in Intelligent Federated Learning and its related applications, as well as technology development, and is also of interest to academicians, data scientists, industrial professionals, researchers, and students.

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Current price €129.59
Original price €143.99
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Age Group_Uncategorizedautomatic-updateB01=Ahmed A ElngarB01=Diego OlivaB01=Valentina E. BalasCategory1=Non-FictionCategory=GPJCategory=TGPCategory=THRCategory=TJFMCategory=UBLCategory=UNFCategory=URDCategory=UYDCategory=UYFCategory=UYQCOP=United KingdomDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 31 Dec 2024

Product Details
  • Dimensions: 156 x 234mm
  • Publication Date: 31 Dec 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781032771649

About

Dr. Ahmed A. Elngar is an Associate Professor and Head of the Computer Science Department at the Faculty of Computers and Artificial Intelligence Beni-Suef University Egypt. He is the Founder and Head of the Scientific Innovation Research Group (SIRG) and a Director of the Technological and Informatics Studies Center (TISC) Faculty of Computers and Artificial Intelligence Beni-Suef University. Dr. Elngar has more than 105 scientific research papers published in prestigious international journals and over 45 books covering diverse topics such as data mining intelligent systems social networks and smart environments. Dr. Elngar is a collaborative researcher and is a member of the Egyptian Mathematical Society (EMS) and the International Rough Set Society (IRSS).Dr. Diego Oliva received a B.S. degree in Electronics and Computer Engineering from the Industrial Technical Education Center (CETI) of Guadalajara Mexico in 2007 an M.Sc. degree in Electronic Engineering and Computer Sciences from the University of Guadalajara Mexico in 2010 and a Ph.D. in Informatics in 2015 from the Universidad Complutense de Madrid. Currently he is an Associate Professor at the University of Guadalajara in Mexico. In 2017 he was a visiting professor at the Tomsk Polytechnic University in Russia and he has the distinction of National Researcher Rank 2 by the Mexican Council of Science and Technology. In 2022 he was recognized as a Highly Cited Researcher by Clarivate WOS. Since 2017 he has been a member of the IEEE and a Senior Member since 2022. Dr. Oliva is a coauthor of more than 50 papers in international journals and 5 books in international editorials and has 2 patents submitted in Mexico. He was the principal investigator of two fully funded Mexican projects and participated in two international projects. His research interests include evolutionary and swarm algorithms machine learning hybrid algorithms image processing and computational intelligence.Dr. Valentina E. Balas is currently a Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering Aurel Vlaicu University of Arad Romania. She holds a Ph.D. in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is the author of more than 300 research papers in referred journals and International Conferences. Her research interests are in Intelligent Systems Fuzzy Control Soft Computing Smart Sensors Information Fusion Modeling and Simulation. She is the Editor-in-Chief of the International Journal of Advanced Intelligence Paradigms (IJAIP) and to International Journal of Computational Systems Engineering (IJCSysE). She is an Editorial Board member of several national and international journals and an evaluator expert for national and international projects and Ph.D. Thesis. Dr. Balas is the director of the Intelligent Systems Research Centre at Aurel Vlaicu University of Arad and Director of the Department of International Relations Programs and Projects at the same university. She served as General Chair of the International Workshop Soft Computing and Applications (SOFA) in eight editions from 2005-2018 held in Romania and Hungary. Dr. Balas was past Vice-president (Awards) of the IFSA International Fuzzy Systems Association Council (2013-2015) and is a Joint Secretary of the Governing Council of the Forum for Interdisciplinary Mathematics (FIM) - A Multidisciplinary Academic Body in India. She is also the director of the Department of International Relations Programs and Projects and head of the Intelligent Systems Research Centre at Aurel Vlaicu University of Arad Romania.

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