Federated Learning for Privacy-Preserving Healthcare Data Analysis in the Age of Cybersecurity Threats-Reference-Cited by-同舟云学术

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Federated Learning for Privacy-Preserving Healthcare Data Analysis in the Age of Cybersecurity Threats

Published:2023-12-29 Issue: Volume: Page:1-8
ISSN:
Container-title:2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI)
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Author:

P Sravan¹,S Saranya²,Deepika N M³,Nijhawan Ginni⁴,Alawadi Ahmed Hussien⁵,M.V Suresh Kumar⁶

Affiliation:

1. School of CS & AI SR University,Warangal,Telanagan,India

2. Dr. N.G.P. Institute of Technology,Department of Computer Science and Engineering,Coimbatore

3. Institute of Aeronautical Engineering,Dundigal, Hyderabad

4. Lovely Professional University,Phagwara

5. The Islamic university,Najaf,Iraq

6. Research Scholar, College of Law, Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram,Guntur,Andhra Pradesh,522302

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10488914/10488923/10489632.pdf?arnumber=10489632

Reference30 articles.

1. A Bibliometric Analysis of Research on the Convergence of Artificial Intelligence and Blockchain in Smart Cities

2. Empowering Precision Medicine: Unlocking Revolutionary Insights through Blockchain-Enabled Federated Learning and Electronic Medical Records

3. A Comprehensive Survey on Privacy-Preserving Techniques in Federated Recommendation Systems

4. Blockchain-Based Trusted Federated Learning with Pre-Trained Models for COVID-19 Detection

5. Federated Learning-Based Lightweight Two-Factor Authentication Framework with Privacy Preservation for Mobile Sink in the Social IoMT

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