Bridge the Gap Between ADMM and Stackelberg Game: Incentive Mechanism Design for Big Data Networks

@article{Zheng2017BridgeTG,
  title={Bridge the Gap Between ADMM and Stackelberg Game: Incentive Mechanism Design for Big Data Networks},
  author={Zijie Zheng and Lingyang Song and Zhu Han},
  journal={IEEE Signal Processing Letters},
  year={2017},
  volume={24},
  pages={191-195}
}
Alternating direction method of multipliers (ADMM) has been well recognized as an efficient optimization approach due to its fast convergence speed and variable decomposition property. However, in big data networks, the agents may not feedback the variables as the centralized controller expects. In this paper, we model the problem as a Stackelberg game and design a Stackelberg game based ADMM to deal with the contradiction between the centralized objective of the controller and the individual… CONTINUE READING

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