National Supercomputer Centre at Linköping University

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Distributed Feature Selection using Convex Optimization and Alternating Direction Methods of Multipliers
Title: Distributed Feature Selection using Convex Optimization and Alternating Direction Methods of Multipliers
DNr: LiU-2019-14
Project Type: LiU Compute
Principal Investigator: Daniel Jung <daniel.jung@liu.se>
Affiliation: Linköpings universitet
Duration: 2019-04-15 – 2021-01-01
Classification: 10299
Keywords:

Abstract

I have developed a distributed feature selection algorithm and would like to evaluate it using the MNIST dataset. To be run in feasible time, the algorithm requires more computational power than my laptop can provide.