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arXiv · 1301.0047

On Distributed Online Classification in the Midst of Concept Drifts

Zaid J. Towfic·Jianshu Chen·Ali H. Sayed
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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 strategies have over individual non-cooperative processing. We conduct extensive simulations to illustrate the results.

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Zaid J. Towfic, Jianshu Chen, Ali H. Sayed. 2013-01-01. On Distributed Online Classification in the Midst of Concept Drifts. https://doi.org/10.1016/j.neucom.2012.12.043

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