Aleksei Triastcyn

Federated Generative Privacy

2020 · IEEE Intelligent Systems

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 private artificial data samples and …