Now showing items 1-7 of 7

    • Communication efficient distributed estimation 

      Utlu, İhsan; Kozat, Süleyman Serdar (IEEE, 2016)
      In this paper, we consider the problem of distributed estimation over adaptive networks with reduced load on communication resources. Novel diffusion strategies are presented that achieve up to three orders-of-magnitude ...
    • Distributed adaptive filtering with reduced communication load 

      Utlu, İhsan; Kozat, Süleyman Serdar (IEEE, 2016)
      We propose novel algorithms for distributed processing in applications constrained by available communication resources, using diffusion strategies that achieve up to three orders-of-magnitude reduction in communication ...
    • Efficient learning strategies over distributed networks for big data 

      Kılıç, Osman Fatih (Bilkent University, 2017-08)
      We study the problem of online learning over a distributed network, where agents in the network collaboratively estimate an underlying parameter of interest using noisy observations. For the applicability of such systems, ...
    • Event-triggered distributed estimation with reduced communication load 

      Utlu, İhsan (Bilkent University, 2017-02)
      We propose a novel algorithm for distributed processing applications constrained by the available communication resources using diffusion strategies that achieves up to a 103 fold reduction in the communication load over ...
    • Logarithmic regret bound over diffusion based distributed estimation 

      Sayın, Muhammed O.; Vanlı, Nuri Denizcan; Kozat, Süleyman Serdar (IEEE, 2014)
      We provide a logarithmic upper-bound on the regret function of the diffusion implementation for the distributed estimation. For certain learning rates, the bound shows guaranteed performance convergence of the distributed ...
    • Resource-aware event triggered distributed estimation over adaptive networks 

      Utlu, I.; Kilic, O. F.; Kozat S. S. (Elsevier Inc., 2017)
      We propose a novel algorithm for distributed processing applications constrained by the available communication resources using diffusion strategies that achieves up to a 103 fold reduction in the communication load over ...
    • Signal recovery with cost-constrained measurements 

      Özçelikkale, A.; Haldun M. Özaktaş; Arikan, E. (IEE, 2010-03-22)
      We are concerned with the problem of optimally measuring an accessible signal under a total cost constraint, in order to estimate a signal which is not directly accessible. An important aspect of our formulation is the ...