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06/21/2022
Controllability of Coarsely Measured Networked Linear Dynamical Systems (Extended Version)
We consider the controllability of large-scale linear networked dynamica...
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06/19/2022
Hierarchical coded elastic computing
Elasticity is offered by cloud service providers to exploit under-utiliz...
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02/13/2022
Information Density in Multi-Layer Resistive Memories
Resistive memories store information in a crossbar arrangement of two-te...
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01/10/2022
Successive Approximation Coding for Distributed Matrix Multiplication
Coded distributed computing was recently introduced to mitigate the effe...
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08/17/2021
Compressing gradients by exploiting temporal correlation in momentum-SGD
An increasing bottleneck in decentralized optimization is communication....
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06/30/2021
Uncertainty-Aware Learning for Improvements in Image Quality of the Canada-France-Hawaii Telescope
We leverage state-of-the-art machine learning methods and a decade's wor...
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02/25/2021
Graph Community Detection from Coarse Measurements: Recovery Conditions for the Coarsened Weighted Stochastic Block Model
We study the problem of community recovery from coarse measurements of a...
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12/15/2020
Anytime Minibatch with Delayed Gradients
Distributed optimization is widely deployed in practice to solve a broad...
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11/04/2020
Node-Centric Graph Learning from Data for Brain State Identification
Data-driven graph learning models a network by determining the strength ...
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10/25/2020
A Hierarchical Graph Signal Processing Approach to Inference from Spatiotemporal Signals
Motivated by the emerging area of graph signal processing (GSP), we intr...
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10/06/2020
Distributed Coding of Quantized Random Projections
In this paper we propose a new framework for distributed source coding o...
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06/10/2020
Anytime MiniBatch: Exploiting Stragglers in Online Distributed Optimization
Distributed optimization is vital in solving large-scale machine learnin...
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07/20/2019
Cuboid Partitioning for Hierarchical Coded Matrix Multiplication
Coded matrix multiplication is a technique to enable straggler-resistant...
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07/20/2019
Hierarchical Coded Matrix Multiplication
Slow working nodes, known as stragglers, can greatly reduce the speed of...
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10/26/2018
Efficient learning of neighbor representations for boundary trees and forests
We introduce a semiparametric approach to neighbor-based classification....
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06/26/2018
Exploitation of Stragglers in Coded Computation
In cloud computing systems slow processing nodes, often referred to as "...
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04/21/2011