On distributed online classification in the midst of concept drifts

  • Authors:
  • Zaid J. Towfic;Jianshu Chen;Ali H. Sayed

  • Affiliations:
  • Electrical Engineering Department, University of California, Los Angeles, CA 90095, USA;Electrical Engineering Department, University of California, Los Angeles, CA 90095, USA;Electrical Engineering Department, University of California, Los Angeles, CA 90095, USA

  • Venue:
  • Neurocomputing
  • Year:
  • 2013

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Abstract

In this work, we analyze the generalization ability of distributed online learning algorithms under stationary and non-stationary environments. We derive bounds for the excess-risk attained by each node in a connected network of learners and study the performance advantage that diffusion has over individual non-cooperative processing. We conduct extensive simulations to illustrate the results.