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Authored by Pronaya Bhattacharya, this book aims to provide a comprehensive overview of emerging Federated Learning (FL)-based architectures, frameworks, and models in Internet of Medical Things (IoMT) applications. It delves into the basics of the healthcare industry, the current data sharing requirements, and security and privacy issues in medical data sharing.
The book begins by explaining the fundamentals of the healthcare industry and the role of data sharing in improving healthcare services. It then introduces the concept of Internet of Medical Things (IoMT) and its potential applications in healthcare analytics.
The book highlights the security and privacy challenges in medical data sharing and presents Federated Learning (FL) as a viable solution to these challenges. It provides detailed explanations, illustrations, tables, and examples to demonstrate effective and secured FL schemes, simulations, and practical discussion on use-case scenarios in a simple manner.
The book aims to create opportunities for healthcare communities to build effective FL solutions around the presented themes, and to support work in related areas that will benefit from reading the book. It also intends to present breakthroughs and foster innovation in FL-based research, specifically in the IoMT domain.
The book covers the ethical and social issues surrounding the recent advancements in the field of decentralized Artificial Intelligence. It provides insights into the evolution, research directions, challenges, and the way to empower healthcare services through federated learning.
This book is mainly intended for undergraduates, post-graduates, researchers, and healthcare professionals who wish to learn FL-based solutions right from scratch, and build practical FL solutions in different IoMT verticals.
Published by CRC Press on June 16, 2023, this book is available in English and has an ISBN of 9781032300764 and 9781000891317.
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