All terms
Federated Learning
Training paradigm where model updates are computed on local data and aggregated centrally - raw data never leaves the site.
Reviewed by Christian Espinosa, Founder, Blue Goat CyberLast reviewed May 5, 2026
Definition
Federated learning enables multi-institution model training without centralizing PHI. Aggregated weights or gradients are shared, often with differential-privacy or secure aggregation safeguards.What this means in practice
Increasingly common for medical imaging and EHR-based models; introduces new validation, governance, and IP questions.Primary references
3 sourcesLink health: 3 verified· last checked 2026-05-09
NIH·1MDCG·1FDA·1
- 1
NIH MIDRCVerifiedNIHmidrc.org
- 2
MDCG Software GuidanceVerifiedMDCGhealth.ec.europa.eu
- 3
FDA - Software as a Medical Device (SaMD)VerifiedFDAfda.gov
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