Q02 · Platforms & InfrastructureTrial▲ AcceleratingHorizon: 12-18 mo
Federated Learning Across Health Systems
Training shared models across institutions without moving patient data.
Federated learning is the most credible path to training robust clinical models on diverse populations without the data-sharing agreements that have historically stalled multi-institution research.
Signals behind this placement
- —Federated approaches avoid the data-sharing agreements that have historically stalled multi-institution research.
- —They are the most credible route to training on genuinely diverse patient populations.
Sequencing
Builds on Confidential Computing for PHI
R&DData
From the Healthcare & Life Sciences Emerging Technology & Innovation Radar, Edition 2026.1, published 2026-10-01.
An independent, industry-agnostic radar curated by Shailesh Kumar.