Multi-leader multi-follower game-based ADMM for big data processing

@article{Zheng2017MultileaderMG,
  title={Multi-leader multi-follower game-based ADMM for big data processing},
  author={Zijie Zheng and Lingyang Song and Zhu Han and Geoffrey Ye Li and H. Vincent Poor},
  journal={2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)},
  year={2017},
  pages={1-5}
}
Alternating direction method of multipliers (ADMM) is a promising approach to solve “big data” problems due to its efficient variable decomposition and fast convergence. However, it is subject to the following two fundamental assumptions: no contradiction among multiple controllers' objectives and ideal feedback from the agents to the controllers. In this paper, a multiple-leader multiple-follower (MLMF) game-based ADMM is developed to balance the conflicting objectives among the controllers as… CONTINUE READING