PASSIAN - Federated Learning for NHS Clinical Data

The PASSIAN Project focuses on implementing federated learning in the NHS to create a secure, scalable clinical data-sharing solution. This work addresses a critical barrier to developing AI implementations for real-world biomedical data.

Federated learning enables multiple institutions to collaboratively train machine learning models on their local data without sharing raw patient information, preserving privacy while enabling large-scale AI development for healthcare applications.

Key objectives:

• Pilot secure federated learning infrastructure across NHS trusts
• Develop privacy-preserving AI models for clinical decision support
• Enable multi-site collaboration while maintaining data sovereignty
• Create scalable solutions for AI deployment in healthcare settings
• Remove key roadblocks to real-world AI implementation in the NHS

This cutting-edge approach allows us to leverage the collective power of distributed clinical datasets while maintaining the highest standards of patient data protection and regulatory compliance.