In this letter, we consider the binary classification problem via distributed Support Vector Machines (SVMs), where idea is to train a network of agents, with limited share data, cooperatively learn SVM classifier for global database. Agents only processed information regarding parameters and gradient local loss functions instead their raw data. contrast existing work, propose continuous-time a...

Commonly, complex modern manufactures systems’ controlling makes its operators pass important decisions what sometimes is rather difficult when there are many alternatives. Such situation requires developing and involving of automatic intellectual decision support systems (DSS). Different approaches have been already developed in order to help operator with passing correct decisions. Each has i...