Federated Generative Privacy

18 Oct 2019Aleksei TriastcynBoi Faltings

In this paper, we propose FedGP, a framework for privacy-preserving data release in the federated learning setting. We use generative adversarial networks, generator components of which are trained by FedAvg algorithm, to draw privacy-preserving artificial data samples and empirically assess the risk of information disclosure... (read more)

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