About the Book
In the era of data-driven healthcare, the ability to gather insights from diverse data sources is critical for advancing precision medicine and improving patient outcomes. However, concerns around data privacy and security compliance often hinder the analysis of sensitive health information. Federated Learning offers a great solution by enabling collaborative health intelligence across institutions without requiring data to leave local environments. By training machine learning models on decentralized data while preserving confidentiality, federated learning empowers healthcare stakeholders to build robust and generalizable models. Enabling Collaborative Health Intelligence With Federated Learning explores the confluence of federated learning and artificial intelligence as a blueprint for the future of medical care. This book bridges the gap between cutting-edge technological developments in federated learning and the pressing needs of AI-driven medical care. Covering topics such as health intelligence, data analysis, and data security, this book is an excellent resource for academics, healthcare practitioners, policy makers, industry leaders, and graduate students.
About the Author :
Dr. Ng Khai Mun currently serves as the Acting Deputy Vice Chancellor (Academic & Research) at Infrastructure University Kuala Lumpur, Malaysia. Before becoming Acting Deputy Vice Chancellor, he was the Dean of the Faculty of Engineering, Science & Technology. With over 15 years in academia, Dr. Ng has significantly contributed to engineering education and research. A Chartered Engineer with the Engineering Council UK, and a Professional Technologist with the Malaysia Board of Technologies, he actively engages in academic and industry collaborations. His scholarly work includes multiple journal publications, conference proceedings, and a registered copyright for a solar absorber system. He has been involved in various funded research projects. His research expertise spans renewable energy systems, thermo fluids, and sustainable engineering solutions. He has served as a reviewer for high-impact journals such as Solar Energy and the Journal of Building Engineering, as well as a panel evaluator for research funding proposals. Beyond his academic and research commitments, Dr. Ng is dedicated to fostering innovation and industry-driven research collaborations. Chin-Shiuh Shieh received the M.S. degree in electrical engineering from National Taiwan University, Taipei, Taiwan, in 1991, and the Ph.D. degree from the Department of Computer Science and Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan, in 2009. In 1991, he joined the Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, as a Faculty Member, where he is currently an Associate Professor. His research interests include wireless networks and handover techniques. Dr. Danish Ather is an accomplished book editor with a robust academic and professional background. Currently as Professor at Amity University in Tashkent, Uzbekistan, Dr. Ather brings over 18 years of experience in teaching, research, and administration. He holds dual Ph.D. degrees in Computer Science and Computer Science & Engineering. His editorial expertise is highlighted through his role as Editor of the proceedings submitted yearly to IEEE USA for the SMART Series conferences. Dr. Ather has authored a book titled “Level up Your Programming with Core Dragon” and published 54 research papers in international journals and conferences, with 15 indexed in Scopus. He is a Senior Member of the IEEE Society and has received numerous awards, including a Certificate of Appreciation from the Ministry of Digital Technologies, Republic of Uzbekistan. His technical proficiency and dedication to advancing knowledge in fields such as IoT, AI, and programming make him a valuable asset in the realm of academic publishing. Vishal Jain is pursuing Postdoc from Kuala Lumpur University of Science & Technology (KLUST) (formerly known as Infrastructure University Kuala Lumpur (IUKL)), Malaysia. He is presently working as a Professor (CSE) at the Department of Computer Science & Engineering, School of Engineering & Technology, Vivekananda Institute of Professional Studies - Technical Campus, New Delhi. Before that, he worked as Professor at Sharda University, Greater Noida and Associate Professor at Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi. He has associated as a member of the Faculty Board, Board of Planning and Management, Executive Council, Academic Council, Curriculum Development and Review Committee and Academic Audit of various higher education Institutions. His research areas include machine learning, information retrieval, semantic web, ontology engineering, data mining, ad hoc networks, sensor networks and network security.
