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Distributed kernel least squares for nonlinear regression applied to sensor networks.

, , and . EUSIPCO, page 1588-1592. IEEE, (2016)

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Linearisation of Transmitter and Receiver Nonlinearities in Optical OFDM Transmission., and . MCSS, volume 41 of Lecture Notes in Electrical Engineering, page 15-24. Springer, (2009)In-Network-Processing: Distributed Consensus-Based Linear Estimation., , and . IEEE Commun. Lett., 17 (1): 59-62 (2013)Distributed Consensus-Based Linear Estimation with Erroneous Links., , and . WSA, page 1-5. VDE Verlag / IEEE, (2013)Distributed Relaxation on Augmented Lagrangian for Consensus based Estimation in Sensor Networks., , and . WSA, page 1-8. VDE-Verlag / IEEE, (2016)Virtual Clustering for Distributed Consensus-Based Estimation in Cooperative Networks., , , and . VTC Spring, page 1-5. IEEE, (2017)Distributed Optimal Consensus-Based Kalman Filtering and its Relation to Map Estimation., , and . ICASSP, page 3664-3668. IEEE, (2018)Absorption-Modulated Crossed-Optical Fiber-Sensor Platform for Measurements in Liquid Environments and Flow Streams., and . J. Sensors, (2017)Virtual clustering: a communication cost reduction strategy for distributed consensus-based estimation in cooperative networks., , , and . WSA, page 1-7. VDE / IEEE, (2018)Distributed nonlinear regression using in-network processing with multiple Gaussian kernels., , , and . SPAWC, page 1-5. IEEE, (2017)Aggregation of Ordinal Judgements Based on Condorcet's Majority Rule., and . Data Analysis and Decision Support, Springer, (2005)