Data & Knowledge Systems · Data & Knowledge Systems Lab
Federated Learning for Privacy-Preserving Analytics
Hospitals and clinics often can't share patient data directly, even for research that could help their own patients. This project's federated learning framework trains shared models across institutions without the raw data ever leaving its source. Two partner hospital research networks are using an early version in production.
Research Question
Hospitals and clinics often can't share patient data directly, even for research that could help their own patients.
Project Timeline
Concept
Investigation
Prototype
Evaluation
Publication
Deployment
Student Involvement
4 graduate researchers; results co-authored with two external hospital research partners.
Lead Researcher
Priya Raghunathan
Research Group
Data & Knowledge Systems Lab
Started
August 1, 2022
Current Stage
Publication