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

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.

Inhaltsverzeichnis

1. Potentials of Internet of Medical Things: Fundamentals and Challenges, 2. Artificial Intelligence Applications for IoMT, 3. Privacy and Security in Internet of Medical Things, 4. IoMT Implementation: Technological Overview for Healthcare Systems, 5. A New Method of 5G-Based Mobile Computing for IoMT Applications, 6. Trusted Federated Learning Solutions for Internet of Medical Things, 7. Early Prediction of Prevalent Diseases Using IoMT, 8. Trusted Federated Learning for Internet of Medical Things: Solutions and Challenges, 9. Security and Privacy Solutions for Healthcare Informatics, 10. IoT-Based Life-Saving Devices Equipped with Ambu Bags for SARS-CoV-2 Patients, 11. Security and Privacy in Federated Learning¿Based Internet of Medical Things, 12. Use-Cases and Scenarios for Federated Learning Adoption in IoMT, 13. Blockchain for Internet of Medical Things

Über den Autor / die Autorin

Pronaya Bhattacharya, Ashwin Verma, Sudeep Tanwar

Zusammenfassung

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.

Produktdetails

• Autoren: Pronaya Verma Bhattacharya, Bhattacharya Verma Pronaya, Sudeep (Nirma University Tanwar
• Mitarbeit: Pronaya Bhattacharya (Herausgeber), Bhattacharya Pronaya (Herausgeber), Sudeep Tanwar (Herausgeber), Ashwin Verma (Herausgeber)
• Verlag: Taylor & Francis Ltd.
• Sprache: Englisch
• Produktform: Fester Einband
• Erschienen: 16.06.2023
• EAN: 9781032300764
• ISBN: 978-1-0-3230076-4
• Seiten: 290
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Allgemeines, Lexika; Medicine: general issues, COMPUTERS / Internet / General, COMPUTERS / Information Technology, computer science, Internet Guides & Online Services, BUSINESS & ECONOMICS / Industries / Healthcare, Internet guides and online services, COMPUTERS / Internet of Things (IoT), COMPUTERS / Internet / Application Development