most citedFedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia

109 citations · 109 across the 1 of their papers we have counts for

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1 paper

eess.IV2021★ 109 cited

FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia

Longling Zhang, Bochen Shen, Ahmed Barnawi +3

Existing deep learning technologies generally learn the features of chest X-ray data generated by Generative Adversarial Networks (GAN) to diagnose COVID-19 pneumonia. However, the…