Distributed Machine Learning
Papers
Distributed Weighted Parameter Averaging for SVM Training on Big Data
PDFData Driven Resource Allocation for Distributed Learning
PDFDistributed Hessian-Free Optimization for Deep Neural Network
PDFDistributed Inexact Damped Newton Method: Data Partitioning and Work-Balancing
PDFScalable Score Computation for Learning Multinomial Bayesian Networks over Distributed Data
PDFParallel Chromatic MCMC with Spatial Partitioning
PDFScalable Classifiers with ADMM and Transpose Reduction
PDFParallel Higher Order Alternating Least Square for Tensor Recommender System
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