### Abstract

A problem of distributed state estimation at multiple agents that are physically connected and have competitive interests is mapped to a distributed source coding problem with additional privacy constraints. The agents interact to estimate their own states to a desired fidelity from their (sensor) measurements which are functions of both the local state and the states at the other agents. For a Gaussian state and measurement model, it is shown that the sum-rate achieved by a distributed protocol in which the agents broadcast to one another is a lower bound on that of a centralized protocol in which the agents broadcast as if to a virtual CEO converging only in the limit of a large number of agents. The sufficiency of encoding using local measurements is also proved for both protocols.

Original language | English (US) |
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Title of host publication | 2012 IEEE International Symposium on Information Theory Proceedings, ISIT 2012 |

Pages | 329-333 |

Number of pages | 5 |

DOIs | |

State | Published - Oct 22 2012 |

Externally published | Yes |

Event | 2012 IEEE International Symposium on Information Theory, ISIT 2012 - Cambridge, MA, United States Duration: Jul 1 2012 → Jul 6 2012 |

### Publication series

Name | IEEE International Symposium on Information Theory - Proceedings |
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### Other

Other | 2012 IEEE International Symposium on Information Theory, ISIT 2012 |
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Country | United States |

City | Cambridge, MA |

Period | 7/1/12 → 7/6/12 |

### ASJC Scopus subject areas

- Theoretical Computer Science
- Information Systems
- Modeling and Simulation
- Applied Mathematics

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## Cite this

*2012 IEEE International Symposium on Information Theory Proceedings, ISIT 2012*(pp. 329-333). [6284202] (IEEE International Symposium on Information Theory - Proceedings). https://doi.org/10.1109/ISIT.2012.6284202