research
∙
08/08/2023
Iterative Sketching for Secure Coded Regression
In this work, we propose methods for speeding up linear regression distr...
share
research
∙
08/06/2023
Gradient Coding through Iterative Block Leverage Score Sampling
We generalize the leverage score sampling sketch for ℓ_2-subspace embedd...
research
∙
04/17/2023
Graph Sparsification by Approximate Matrix Multiplication
Graphs arising in statistical problems, signal processing, large network...
research
∙
01/09/2023
Federated Coded Matrix Inversion
Federated learning (FL) is a decentralized model for training data distr...
research
∙
07/13/2022
Secure Linear MDS Coded Matrix Inversion
A cumbersome operation in many scientific fields, is inverting large ful...
research
∙
01/21/2022
Orthonormal Sketches for Secure Coded Regression
In this work, we propose a method for speeding up linear regression dist...
research
∙
09/22/2021
Numerically Stable Binary Coded Computations
This paper addresses the gradient coding and coded matrix multiplication...
research
∙
11/19/2020
Approximate Weighted CR Coded Matrix Multiplication
One of the most common, but at the same time expensive operations in lin...
research
∙
07/26/2020
Dimensionality Reduction for k-means Clustering
We present a study on how to effectively reduce the dimensions of the k-...
research
∙
03/11/2020
Beyond the Guruswami-Sudan (and Parvaresh-Vardy) Radii: Folded Reed-Solomon, Multiplicity and Derivative Codes
The classical family of Reed-Solomon codes consist of evaluations of pol...
research
∙
03/05/2020
Straggler Robust Distributed Matrix Inverse Approximation
A cumbersome operation in numerical analysis and linear algebra, optimiz...
research
∙
01/30/2020
Numerically Stable Binary Gradient Coding
A major hurdle in machine learning is scalability to massive datasets. O...
research
∙
01/30/2020