A Simple Parallel EM Algorithm for Statistical Learning via Mixture Models. - Sharon X. Lee; Kaleb L. Leemaqz; Geoffrey J. McLachlan (DICTA, 2016)

Private Distributed Three-Party Learning of Gaussian Mixture Models. - Kaleb L. Leemaqz; Sharon X. Lee; Geoffrey J. McLachlan (ATIS, 2017)

Corruption-Resistant Privacy Preserving Distributed EM Algorithm for Model-Based Clustering. - Kaleb L. Leemaqz; Sharon X. Lee; Geoffrey J. McLachlan (TrustCom/BigDataSE/ICESS, 2017)

A Block EM Algorithm for Multivariate Skew Normal and Skew $t$ -Mixture Models. - Sharon X. Lee; Kaleb L. Leemaqz; Geoffrey J. McLachlan (IEEE Trans. Neural Networks Learn. Syst., 2018)

PPEM: Privacy-preserving EM learning for mixture models. - Sharon X. Lee; Kaleb L. Leemaqz; Geoffrey J. McLachlan (Concurr. Comput. Pract. Exp., 2019)

Multi-node Expectation-Maximization algorithm for finite mixture models. - Sharon X. Lee; Geoffrey J. McLachlan; Kaleb L. Leemaqz (Stat. Anal. Data Min., 2021)