A distributed Kalman-filtered Gaussian process that reconstructs the full sensor measurement matrix via max/min consensus, enabling linear-in-eigenfunctions communication for wireless sensor networks.
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Kalman Filter-Based Distributed Gaussian Process for Unknown Scalar Field Estimation in Wireless Sensor Networks
A distributed Kalman-filtered Gaussian process that reconstructs the full sensor measurement matrix via max/min consensus, enabling linear-in-eigenfunctions communication for wireless sensor networks.