COR-GAN: Synthetic Data generation for Privacy-Preserving Deep Learning

The goal of this project is to generate synthetic healthcare records for privacy-preserving deep learning. Methodology: We proposed a novel architecture using Generative Adversarial Networks. Link: [Paper, GitHub] Summary Abstract Deep learning models have demonstrated …

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