2020
Adaptive Gradient Quantization for Data-Parallel SGD
NeurIPS 2020poster
Many communication-efficient variants of SGD use gradient quantization schemes. These schemes are often heuristic and fixed over the course of training. We empirically observe that the statistics of gradients of deep models change during the training. Motivated by this observation, we introduce two…