Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary

no code implementations • 18 Jan 2021 • Jean-Francois Rajotte, Sumit Mukherjee, Caleb Robinson, Anthony Ortiz, Christopher West, Juan Lavista Ferres, Raymond T Ng

We show that by using the FELICIA mechanism, a data owner with limited image samples can generate high-quality synthetic images with high utility while neither data owners has to provide access to its data.

Federated Learning Lesion Classification +1