Defw
Companion codes for the paper "Decentralized Frank-Wolfe Algorithm for Convex and Non-convex Problems", accepted by IEEE TAC
Install / Use
/learn @hoitowai/DefwREADME
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.
