most citedFedGAN: Federated Generative Adversarial Networks for Distributed Data

29 citations · 31 across the 2 of their papers we have counts for

collaborators

2 papers

econ.TH2021★ 2 cited

Data Sharing Markets

Mohammad Rasouli, Michael I. Jordan

With the growing use of distributed machine learning techniques, there is a growing need for data markets that allows agents to share data with each other. Nevertheless data has un…

cs.LG2020★ 29 cited

FedGAN: Federated Generative Adversarial Networks for Distributed Data

Mohammad Rasouli, Tao Sun, Ram Rajagopal

We propose Federated Generative Adversarial Network (FedGAN) for training a GAN across distributed sources of non-independent-and-identically-distributed data sources subject to co…