A federated few-shot learning framework that adds differential privacy noise to Meta-SGD gradient updates achieves reasonable respiratory disease diagnosis accuracy without sharing patient images.
Patient exposure from radiologic and nuclear medicine procedures in the united states: procedure volume 23 and effective dose for the period 2006–2016
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An Enhanced Privacy-preserving Federated Few-shot Learning Framework for Respiratory Disease Diagnosis
A federated few-shot learning framework that adds differential privacy noise to Meta-SGD gradient updates achieves reasonable respiratory disease diagnosis accuracy without sharing patient images.