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We present a novel mechanism for consensus building in sensor networks. The proposed algorithm has three main properties that make it suitable for general sensor-network learning. First, the proposed algorithm is based on robust nonparametric statistics and thereby needs little prior knowledge about the network and the function that needs to be estimated. Second, the algorithm uses only local information about the network and it communicates only with nearby sensors. Third, the algorithm isdoi:10.1109/isit.2009.5205336 dblp:conf/isit/Perez-CruzK09 fatcat:nj7owepau5fqvgiprrhktpccqi