Tracking the Median of Gradients with a Stochastic Proximal Point Method

Fabian Schaipp, Guillaume Garrigos, Umut Simsekli +1

There are several applications of stochastic optimization where one can benefit from a robust estimate of the gradient. For example, domains such as distributed learning with corru…