Search Results for author:
Found 1 papers, 0 papers with code
Peering Beyond the Gradient Veil with Distributed Auto Differentiation
We introduce an innovative, communication-friendly approach for training distributed DNNs, which capitalizes on the outer-product structure of the gradient as revealed by the mechanics of auto-differentiation.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
