SVM is a machine learning algorithm used to address binary classification problems (Zhang et al., 2013). It maps the original vectors into a higher-dimensional space and constructs a hyperplane with ...

In this paper, we propose a novel distributed Stochastic Gradient Descent (SGD) algorithm named Grouping-SGD for distributed ... SGD can achieve 1.2~3.7 times speedups using popular image ...

A distributed randomized gradient-free mirror descent (DRGFMD ... for RWA sequence is shown to hold over time-varying graph. Rates of convergence are comprehensively explored for the algorithm with ...

In this paper, we propose an end-to-end framework for EEG classification that integrates power spectral density (PSD) and visibility graph (VG) features together ... To overcome this, we propose a ...