2021
Exponential Graph is Provably Efficient for Decentralized Deep Training
NeurIPS 2021poster
Decentralized SGD is an emerging training method for deep learning known for its much less (thus faster) communication per iteration, which relaxes the averaging step in parallel SGD to inexact averaging. The less exact the averaging is, however, the more the total iterations the training needs to t…