1st Edition
Federated Learning for Internet of Medical Things Concepts, Paradigms, and Solutions
Preface
About the Editors
List of Contributors
1. Potentials of Internet of Medical Things: Fundamentals and Challenges
Tanisha Mishra, Shikha Singh, Bramah Hazela,and Garima Srivastava
2. Artificial Intelligence Applications for IoMT
Vivek Kumar Prasad, Jainil Solanki, Pronaya Bhattacharya, Ashwin Verma, and Madhuri Bhavsar
3. Privacy and Security in Internet of Medical Things
Karthik Ajay, Abhishek S. Mattam, Bivin Joseph, Sohan R., and Ramani Selvanambi
4. IoMT Implementation: Technological Overview for Healthcare Systems
Neha Sharma, Sadhana Tiwari, Md Ilyas, Rajeev Raghuvanshi, and Ashwin Verma
5. A New Method of 5G-Based Mobile Computing for IoMT Applications
Javaid A. Sheikh, Sakeena Akhtar, and Rehana Amin
6. Trusted Federated Learning Solutions for Internet of Medical Things
Sagar Lakhanotra, Jaimik Chauhan, Vivek Kumar Prasad, and Pronaya Bhattacharya
7. Early Prediction of Prevalent Diseases Using IoMT
Jigna Patel, Jitali Patel, Rupal Kapdi, and Shital Patel
8. Trusted Federated Learning for Internet of Medical Things: Solutions and Challenges
Sajid Nazir, Yan Zhang, and Hua Tianfield
9. Security and Privacy Solutions for Healthcare Informatics
Pranshav Gajjar, Shivani Desai, Akash Vegada, Pooja Shah, and Tarjni Vyas
10. IoT-Based Life-Saving Devices Equipped with Ambu Bags for SARS-CoV-2 Patients
Ankit Jain and Anita Shukla
11. Security and Privacy in Federated Learning–Based Internet of Medical Things
Swathi J., G.R. Karpagam, and Raghvendra Singh
12. Use-Cases and Scenarios for Federated Learning Adoption in IoMT
Jonathan Atrey and Ramani Selvanambi
13. Blockchain for Internet of Medical Things
Pranalini Joshi and Prasad Gokhale
Index
Biography
Pronaya Bhattacharya, Ashwin Verma, Sudeep Tanwar
