FeDXL: Provable Federated Learning for Deep X-Risk Optimization

Zhishuai Guo, Rong Jin, Jiebo Luo +1

In this paper, we tackle a novel federated learning (FL) problem for optimizing a family of X-risks, to which no existing FL algorithms are applicable. In particular, the objective…