Managing Sensitive Health Data Through Federated Learning and Generative AI: Advanced Privacy-Preserving Techniques for Secure Digital Healthcare

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Author(s): V. Vidhya (Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India), S. Sridevi (Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College, India), B. Ramakrishna (CVR College of Engineering, India), T. Karpagam (R.M.K. College of Engineering and Technology, India)and Dinesh M. G. (Easa College of Engineering and Technology, India)
Copyright: 2027
Pages: 26
Source title: Managing Sensitive Health Data Through Federated Learning and Generative AI: Privacy Preserving Techniques
Source Author(s)/Editor(s): Manisha Guduri (Lawrence Technological University, USA), George Pappas (Lawrence Technological University, USA)and Sandeep Thota (Oracle Inc., USA)
DOI: 10.4018/979-8-3373-7426-0.ch009

Keywords: Health Information Systems / Information Security & Privacy / Medical Information Science Reference / Security & Forensics

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Abstract

The rapid digitalization of healthcare has intensified the need for robust, privacy-preserving techniques to manage sensitive patient data. Federated Learning (FL) and Generative AI (GenAI) have emerged as transformative technologies that enable secure, collaborative model development without centralizing raw medical data. This chapter explores the foundational principles, privacy-preserving mechanisms, and integrated frameworks that combine FL and GenAI to support secure digital healthcare applications such as medical imaging, clinical decision support, genomics, and remote monitoring. It highlights key challenges including privacy leakage, data heterogeneity, adversarial threats, and regulatory complexities while identifying future research directions for scalable, trustworthy, and interoperable healthcare AI systems. The convergence of FL and GenAI represents a critical pathway toward secure, ethical, and data-driven healthcare innovation.

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Managing Sensitive Health Data Through Federated Learning and Generative AI: Advanced Privacy-Preserving Techniques for Secure Digital Healthcare

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