Optimization for Large-Scale Machine Learning with Distributed Features and Observations

Alexandros Nathan, Diego Klabjan

As the size of modern data sets exceeds the disk and memory capacities of a single computer, machine learning practitioners have resorted to parallel and distributed computing. Giv…