Federated Learning System for Privacy-Preserving Clinical AI: Architecture and Use Case Overview 

Federated Learning System for Privacy-Preserving Clinical AI: Architecture and Use Case Overview 

<p dir="ltr">This technical diagram illustrates a federated learning (FL) system designed for privacy-preserving AI applications in healthcare. The architecture allows hospitals and clinics to collaboratively train machine learning models without sharing raw patient data. Each instit...

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Bibliographic Details
Main Author: Sri Sai Nithin Chowdhary Dukkipati (21350351) (author)
Published: 2025
Subjects:
Digital health
Health care administration
Health informatics and information systems
Artificial intelligence not elsewhere classified
Federated Learning
Privacy preservation, data anonymization, data publishing, data security
healthcare ai systems
HIPAA Compliance
clinical risk prediction model
medical machine learning
Digital Health
Secure Aggregation
Differential Privacy
Health Data Security
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