3 papers
math.OC2025
CGD: Modifying the Loss Landscape by Gradient Regularization
Shikhar Saxena, Tejas Bodas, Arti Yardi
Line-search methods are commonly used to solve optimization problems. The simplest line search method is steepest descent where one always moves in the direction of the negative gr…
cs.IT2021
Approximate Gradient Coding for Heterogeneous Nodes
Amogh Johri, Arti Yardi, Tejas Bodas
In distributed machine learning (DML), the training data is distributed across multiple worker nodes to perform the underlying training in parallel. One major problem affecting the…
cs.PF2021
Download time analysis for distributed storage systems with node failures
Tim Hellemans, Arti Yardi, Tejas Bodas
We consider a distributed storage system which stores several hot (popular) and cold (less popular) data files across multiple nodes or servers. Hot files are stored using repetiti…