Distributed Block-diagonal Approximation Methods for Regularized Empirical Risk Minimization

Ching-pei Lee, Kai-Wei Chang

In recent years, there is a growing need to train machine learning models on a huge volume of data. Designing efficient distributed optimization algorithms for empirical risk minim…