Communication in parallel systems imposes significant overhead which often turns out to be a bottleneck machine learning. To relieve some of this overhead, paper, we present EventGraD - an algorithm with event-triggered communication for stochastic gradient descent The main idea is modify the requirement at every iteration standard implementations learning communicating only when necessary cert...