Search Results for author:
Found 2 papers, 0 papers with code
GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent
In this paper, we present GossipGraD - a gossip communication protocol based Stochastic Gradient Descent (SGD) algorithm for scaling Deep Learning (DL) algorithms on large-scale systems.
Adaptive Neuron Apoptosis for Accelerating Deep Learning on Large Scale Systems
We present novel techniques to accelerate the convergence of Deep Learning algorithms by conducting low overhead removal of redundant neurons -- apoptosis of neurons -- which do not contribute to model learning, during the training phase itself.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
