Overview
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.
Full Product Details
Author: Ng Khai Mun ,
Chin-Shiuh Shieh ,
Danish Ather ,
Arvind Panwar
Publisher: Igi Global Scientific Publishing
Imprint: Igi Global Scientific Publishing
Dimensions:
Width: 17.80cm
, Height: 3.00cm
, Length: 25.40cm
Weight: 1.139kg
ISBN: 9798337333069
Pages: 310
Publication Date: 30 October 2025
Audience:
General/trade
,
General
Format: Hardback
Publisher's Status: Active
Availability: Available To Order
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.
Author Information
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.
