Overview

• The package D_ADMM_Demo includes a few demos illustrating the convergence properties of the decentralized ADMM.
• References:
  • [1] W. Shi, Q. Ling, K. Yuan, G. Wu, and W. Yin, “On the Linear Convergence of the ADMM in Decentralized Consensus Optimization,” IEEE Transactions on Signal Processing, vol. 62, no. 7, pp. 1750-1761, 2014.
• Please use the code under the GNU GPLv3
• Please note: this code is still in beta version, and is not yet well documented. The demo main files are
  • effect_of_per2.m
  • study_in_bipartite3
  • effect_of_L_with_marks3
  • effect_of_kappa_f4
  • effect_of_diam_d_dif3
  • effect_of_beita2

The code has been tested in CentOS 6.5, GLNXA64 environment.

• Changelog:

Matlab code

• D_ADMM_Demo_v7.1.zip