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.
Data science and the role of artificial intelli- gence in achieving the fast diagnosis of COVID-19
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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.