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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]

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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.

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

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