Asymmetric information diffusion via gossiping on static and dynamic networks

  title={Asymmetric information diffusion via gossiping on static and dynamic networks},
  author={Mehmet E. Yildiz and Anna Scaglione and Asuman E. Ozdaglar},
  journal={49th IEEE Conference on Decision and Control (CDC)},
In this paper we consider the problem of gossiping in a network to diffuse the average of a sub-set of nodes, called sources, and directing it to another sub-set of nodes in the network called destinations. This case generalizes the typical average consensus gossiping policy, where all nodes are both sources and destinations. We first describe prior results we obtained on a static network topology and gossip policy, high-lighting what conditions lead to the desired information flow. We show… CONTINUE READING
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Non-negative Matrices and Markov Chains

  • E. Seneta
  • Springer Series in Statistics,
  • 1981
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Computing aggregate information using gossip

  • D. Kempe, A. Dobra, J. Gehrke
  • Proc. Foundations of Computer Science, Cambridge…
  • 2003
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