Communication-Efficient Distributed Learning for High-Dimensional Support Vector Machines
Distributed learning has received increasing attention in recent years and is a special need for the era of big data.For a support vector machine (SVM), a powerful binary classification tool, we proposed a novel efficient distributed sparse learning algorithm, the communication-efficient surrogate likelihood support vector machine (CSLSVM), in high