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

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

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IEEE ICASSP 2020 Virtual Conference May 2020

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

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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