Distributed learning in wireless sensor networks

Joel B. Predd; Sanjeev Kulkarni; H Vincent Vincent Poort

doi:10.1109/msp.2006.1657817

Abstract

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This paper discusses nonparametric distributed learning. After reviewing the classical learning model and highlighting the success of machine learning in centralized settings, the challenges that wireless sensor networks (WSN) pose for distributed learning are discussed, and research aimed at addressing these challenges is surveyed.

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