Private Fl-Gan: Differential Privacy Synthetic Data Generation Based On Federated Learning

Generative Adversarial Network (GAN) has already made a big splash in the field of generating realistic ``fake'' data. However, when data is distributed and data-holders are reluctant to share data for privacy reasons, GAN's training is difficult. To addr
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