A distributed density estimation algorithm and its application to naive Bayes classification

Kim, 2012, A classifier for big data, 505 Bekkerman, 2011 Gao, 2017, Approximate computing for low power and security in the internet of things, Computer, 50, 27, 10.1109/MC.2017.176 Raza, 2017, Low power wide area networks: An overview, IEEE Commun. Surv. Tutor., 19, 855, 10.1109/COMST.2017.2652320 Yang, 2017, Hardware designs for security in ultra-low-power IoT systems: An overview and survey, IEEE Micro, 37, 72, 10.1109/MM.2017.4241357 John, 1995, Estimating continuous distributions in Bayesian classifiers, 338 Caragea, 2004, A framework for learning from distributed data using sufficient statistics and its application to learning decision trees, Int. J. Hybrid Intell. Syst., 1, 80, 10.3233/HIS-2004-11-210 Boyd, 2004 Bishop, 2006 Koralov, 2007 Janofsky, 2015 Piatkowski, 2018 Broderick, 2013, Streaming variational bayes, 1727 Giannella, 2006, Efficient kernel density estimation over distributed data Hu, 2007, Distributed density estimation using non-parametric statistics, 28 Rasmussen, 1999, The infinite Gaussian mixture model, 12, 554 Görür, 2010, Dirichlet process gaussian mixture models: Choice of the base distribution, J. Comput. Sci. Tech., 25, 653, 10.1007/s11390-010-9355-8 Boyd, 2011, Distributed optimization and statistical learning via the alternating direction method of multipliers, Found. Trends® Mach. Learn., 3, 1 Liu, 2014, Distributed estimation, information loss and exponential families, 1098 Nowak, 2003, Distributed EM algorithms for density estimation and clustering in sensor networks, IEEE Trans. Signal Process., 51, 2245, 10.1109/TSP.2003.814623 Merugu, 2003, Privacy-preserving distributed clustering using generative models, 211 Merugu, 2006 Meidan, 2018, N-baIoT—Network-based detection of IoT botnet attacks using deep autoencoders, IEEE Pervasive Comput., 17, 12, 10.1109/MPRV.2018.03367731 Savicky, 2007 Huerta, 2016, Online decorrelation of humidity and temperature in chemical sensors for continuous monitoring, Chem. Intell. Lab. Syst., 157, 169, 10.1016/j.chemolab.2016.07.004 Davison, 2003