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Defw

Companion codes for the paper "Decentralized Frank-Wolfe Algorithm for Convex and Non-convex Problems", accepted by IEEE TAC

Install / Use

/learn @hoitowai/Defw
About this skill

Quality Score

0/100

Supported Platforms

Zed

README

Companion codes for the paper "Decentralized Frank-Wolfe Algorithm for Convex and Non-convex Problems", accepted by IEEE TAC, to appear, 2017. [Preprint available: http://arxiv.org/abs/1612.01216]

Content

Matrix completion examples

  • DeFW_MC_SyntheticData.m -- Simulation code for Fig. 1 to 4
  • DeFW_MC_MLData.m -- Simulation code for Fig. 5

LASSO examples

  • DeFW_LASSO_Syn.m -- Simulation code for Fig. 6
  • DeFW_LASSO_Sparco7.m -- Simulation code for Fig. 7

Under folder "Tools_Data"

  • MC_gen_syndata.m -- Code for generating synthetic data for matrix completion examples
  • proj_l1.m -- Function for projection onto the L1 ball

The movielens100k dataset is taken from https://grouplens.org/datasets/movielens/ and imported into the MATLAB format for the ease of processing.

View on GitHub
GitHub Stars12
CategoryDevelopment
Updated3mo ago
Forks5

Languages

Matlab

Security Score

72/100

Audited on Dec 11, 2025

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