Reviews: Distributed Stochastic Optimization via Adaptive SGD

Update: I keep my initial rating. As a potential improvement for the paper, I see the authors only tackle the non strictly convex case. I am curious how the result would be modified if the authors assumed strong convexity. Original review: In this paper the authors introduce SVRG OL, a distributed stochastic optimization method for convex optimization. Inspired by SVRG, the authors first compute a high precision estimate of a gradient at an anchor point v using a large number of samples.