Diffusion Strategies Outperform Consensus Strategies for Distributed Estimation Over Adaptive Networks

@article{Tu2012DiffusionSO,
  title={Diffusion Strategies Outperform Consensus Strategies for Distributed Estimation Over Adaptive Networks},
  author={Sheng-Yuan Tu and Ali H. Sayed},
  journal={IEEE Transactions on Signal Processing},
  year={2012},
  volume={60},
  pages={6217-6234}
}
Adaptive networks consist of a collection of nodes with adaptation and learning abilities. The nodes interact with each other on a local level and diffuse information across the network to solve estimation and inference tasks in a distributed manner. In this work, we compare the mean-square performance of two main strategies for distributed estimation over networks: consensus strategies and diffusion strategies. The analysis in the paper confirms that under constant step-sizes, diffusion… CONTINUE READING
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