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

Jean-Francois Rajotte, Sumit Mukherjee, Caleb Robinson +4

We introduce FELICIA (FEderated LearnIng with a CentralIzed Adversary) a generative mechanism enabling collaborative learning. In particular, we show how a data owner with limited…