13 citations · 33 across the 8 of their papers we have counts for
4 papers · 1 filter
SPARQ-SGD: Event-Triggered and Compressed Communication in Decentralized Stochastic Optimization
Navjot Singh, Deepesh Data, Jemin George +1
In this paper, we propose and analyze SPARQ-SGD, which is an event-triggered and compressed algorithm for decentralized training of large-scale machine learning models. Each node c…
Comparison of Accuracy and Scalability of Gauss-Newton and Alternating Least Squares for CP Decomposition
Navjot Singh, Linjian Ma, Hongru Yang +1
Alternating least squares is the most widely used algorithm for CP tensor decomposition. However, alternating least squares may exhibit slow or no convergence, especially when high…
Distributed-Memory Tensor Completion for Generalized Loss Functions in Python using New Sparse Tensor Kernels
Navjot Singh, Zecheng Zhang, Xiaoxiao Wu +3
Tensor computations are increasingly prevalent numerical techniques in data science, but pose unique challenges for high-performance implementation. We provide novel algorithms and…
Computational models for the evolution of world cuisines
Rudraksh Tuwani, Nutan Sahoo, Navjot Singh +1
Cooking is a unique endeavor that forms the core of our cultural identity. Culinary systems across the world have evolved over a period of time in the backdrop of complex interplay…