Training machine learning models on classical computers is usually a time and compute intensive process. With Moore’s law nearing its inevitable end and an ever-increasing demand for large-scale data ...

In conventional method, distributed Support Vector Machines (SVM) algorithms are trained over pre-configured intranet/internet environments to find out an optimal classifier. These methods are very ...