• DocumentCode
    2991604
  • Title

    The quadratic Gaussian CEO problem with byzantine agents

  • Author

    Kosut, Oliver ; Tong, Lang

  • Author_Institution
    Cornell Univ., Ithaca, NY, USA
  • fYear
    2009
  • fDate
    June 28 2009-July 3 2009
  • Firstpage
    1145
  • Lastpage
    1149
  • Abstract
    The quadratic Gaussian CEO problem is studied when the agents are under Byzantine attack. That is, an unknown subset of agents is controlled by an adversary that attempts to damage the quality of the estimate at the central estimation officer, or CEO. Inner and outer bounds are presented for the achievable rate region as a function of the fraction of adversarial agents. The inner bound is derived from a generalization of the Berger-Tung quantize-and-bin strategy, which has been shown to be tight in the non-Byzantine case. The outer bound has similarities to the singleton bound in that the traitorous agents must be prevented from allowing two sources to result in the same transmitted codewords if their values are too far apart for the distortion constraint to be satisfied with a single estimate. The inner and outer bounds on the rate regions are used to find bounds on the asymptotic proportionality constant in the limit of a large number of agents and high sum-rate. These bounds on the proportionality constant differ at most by a factor of 4.
  • Keywords
    Gaussian processes; source coding; Berger-Tung quantize-and-bin strategy; Byzantine agent; central estimation officer; inner bound; multiterminal source coding; outer bound; quadratic Gaussian CEO problem; singleton bound; Algorithm design and analysis; Centralized control; Decoding; Distortion measurement; Encoding; Network coding; Performance analysis; Source coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2009. ISIT 2009. IEEE International Symposium on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-4312-3
  • Electronic_ISBN
    978-1-4244-4313-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2009.5206013
  • Filename
    5206013