Federated Learning for Internet of Medical Things : Concepts, Paradigms, and Solutions book cover
1st Edition

Federated Learning for Internet of Medical Things
Concepts, Paradigms, and Solutions

  • Available for pre-order on May 26, 2023. Item will ship after June 16, 2023
ISBN 9781032300764
June 16, 2023 Forthcoming by CRC Press
248 Pages 104 Color & 25 B/W Illustrations

FREE Standard Shipping
USD $129.95

Prices & shipping based on shipping country


Book Description

The book intends to present emerging Federated Learning (FL) based architectures, frameworks, and models in Internet-of-Medical Things (IoMT) applications. It intends to build up onto the basics of healthcare industry, the current data sharing requirements, and security and privacy issues in medical data sharing. Once IoMT is presented, the shift is towards the proposal of privacy-preservation in IoMT, and explains how FL presents a viable solution to these challenges. The claims are supported through lucid illustrations, tables, and examples that presents effective and secured FL schemes, simulations, and practical discussion on use-case scenarios in simple manner. The book tends to create opportunities of healthcare communities to build effective FL solutions around the presented themes, and the divergent ideas that prosper from reading the book. It also intends to present breakthroughs and foster innovation in FL-based research, specifically in IoMT domain. The emphasis is on understanding the contributions of IoMT in healthcare analytics and its aim is to give the insights including evolution, research directions, challenges and the way to empower healthcare services through federated learning.

The book also intends to cover the issues of ethical and social issues around the recent advancements in the field of decentralized Artificial Intelligence. The 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.

Table of Contents


    1. Potentials of Internet of Medical Things
    2. Tanisha Mishra, Shikha Singh, Bramha Hazela, Garima Srivastava

    3. Artificial Intelligence Applications for IoMT
    4. Vivek Kumar Prasad, Jainil Solanki, Pronaya Bhattacharya, Ashwin Verma, Madhuri Bhavsar

    5. Privacy and Security in IoMT
    6. Karthik Ajay, Abhishek S Mattam, Bivin Joseph, Sohan R, Ramani S

    7. IoMT Implementation: Technological Overview for Healthcare Systems
    8. Neha Sharma, Sadhana Tiwari, Md Ilyas, Rajeev Raghuvanshi, Ashwin Verma

    9. A New Method of 5G-Based Mobile Computing for IoMT Applications
    10. Javaid A. Sheikh, Sakeena Akhter, Rehana Amin

    11. Trusted Federated Learning Solutions for the IoMT
    12. Sagar Lakhanotra, Jaimik Chauhan, Vivek Kumar Prasad, Pronaya Bhattacharya

    13. Early Prediction of Prevalent Diseases Using IoMT
    14. Jigna Patel, Jitali Patel, Rupal Kapdi, Shital Patel

    15. Trusted Federated Learning for IoMT – Solutions and Challenges
    16. Sajid Nazir, Yan Zhang, Hua Tianfield

    17. Security and Privacy Solutions for Healthcare Informatics
    18. Pranshav Gajjar , Shivani Desai , Akash Vegada , Pooja Shah , Tarjni Vyas

    19. Internet of Things-Based Life Saving Device Equipped with Ambu Bag for Sars-Cov-2 Patients
    20. Ankit Jain, Anita Shukla

    21. Security and Privacy in Federated Learning-Based IoMT
    22. Swathi J, G.R.Karpagam, Raghvendra Singh

    23. Use-Cases and Scenarios for Federated Learning Adoption in IoMT
    24. Jonathan Atrey, Ramani Selvanambi

    25. Blockchain for IoMT

    Pranalini Amit Joshi, Prasad Gokhale


View More



Dr. Pronaya Bhattacharya is employed as an Assistant Professor with the Computer Science and Engineering Department, Institute of Technology, Nirma University, Ahmedabad, India. He has completed his PhD in CSE from Dr. A. P. J Abdul Kalam Technical University, Lucknow, Uttar Pradesh in 2021. He has completed his M. Tech in Information Technology from KSU, Mysore in 2012, and B. Tech from UPTU, Lucknow in 2008. He has over eight years of teaching experience. He has authored or co-authored 50 research papers in leading SCI journals and top core IEEE ComSoc conferences. Some of his top findings are published in IEEE-JBHI, IEEE-TVT, IEEE-IoTJ, IEEE-TNSE, Wiley-ETT, Elsevier-FGCS, Springer-OQEL, Springer-WPC, JER-Kuwait, ACM-MOBICOM, IEEE-Infocom, IEEE-ICC, and IEEE-CITS, IEEE-ICIEM, IEEE-CCCI, IEEE-ECAI, and many others. His research interests include optical switching, high-performance networking, Artificial Intelligence, Blockchain, and IoT. Dr. Bhattacharya is awarded the best paper award in Springer ICRIC-2019, IEEE-ICIEM, IEEE-ECAI, and Springer COMS2-2021. He is working as a reviewer of reputed SCI journals IEEE-IoTJ, IEEE-TII, IEEE-Access, IEEE-Network, Wiley-ETT, Wiley-IJCS, Springer-MTAP, Elsevier-OSN, and Springer-WPC. He has been appointed in the technical program committee, and session chairs in IC4S-2019, IC4S-2020, IICT-2020, and ETCCS-2021, and many others around the globe. He is a Lifetime Member of professional societies like ISTE and IAENG. Mr. Ashwin Verma is currently working as an Assistant Professor in the Computer Science and Engineering Department at the Institute of Technology, Nirma University. He is currently pursuing his PhD in CSE from Amity University, Jaipur, Rajasthan. He has done his M.Tech in CSE from NIT, Jaipur in 2013, and B.Tech in IT from DAVV, Indore. He has seven-year of teaching and academic experience and has taken a wide array of subjects like Machine Learning, Network Security, Computer Networks, and Algorithms. He has authored and co-authored more than 6 articles in leading SCI journals and IEEE conferences. Some of his top findings are published in IEEE-Journal of Biomedical and Health Informatics, Elsevier-Journal of Information Security and Applications, IEEE-ICIEM-2021, and many more. He is awarded the best research paper award in IEEE ICIEM-2021, London, United Kingdom. His research interests lie in Healthcare 4.0, Federated Learning, Blockchain Technology, and 5G and beyond communications. Dr. Sudeep Tanwar (M'15, SM'21) is currently working as a Professor of the Computer Science and Engineering Department at the Institute of Technology, Nirma University, India. Dr. Tanwar is a visiting Professor in Jan Wyzykowski University in Polkowice, Poland and University of Pitestiin Pitesti, Romania. Dr. Tanwar's research interests include Blockchain Technology, Wireless Sensor Networks, Fog Computing, Smart Grid, and IoT. He has authored 02 books and edited 13 books, more than 200 technical papers, including top journals and top conferences, such as IEEE TNSE, TVT, TII, WCM, Networks, ICC, GLOBECOM, and INFOCOM. Dr. Tanwar initiated the research field of blockchain technology adoption in various verticals in 2017. His h-index is 43. Dr. Tanwar actively serves his research communities in various roles. He is currently serving the editorial boards of Physical Communication, Computer Communications, International Journal of Communication System, and Security and Privacy. He has been awarded the best research paper awards from IEEE GLOBECOM 2018, IEEE ICC 2019, and Springer ICRIC-2019. He has served many international conferences as a member of the organizing committee, such as publication chair for FTNCT-2020, ICCIC 2020, WiMob2019, member of the advisory board for ICACCT-2021, ICACI 2020, workshop co-chair for CIS 2021, and general chair for IC4S 2019, 2020, ICCSDF 2020. Dr. Tanwar is a final voting member for IEEE ComSoc Tactile Internet Committee in 2020. He is a Senior Member of IEEE, CSI, IAENG, ISTE, CSTA, and a member of the Technical Committee on Tactile Internet of IEEE Communication Society.