# GADGET SVM: A Gossip-bAseD sub-GradiEnT Solver for Linear SVMs

@article{Dutta2018GADGETSA, title={GADGET SVM: A Gossip-bAseD sub-GradiEnT Solver for Linear SVMs}, author={Haimonti Dutta and Nitin Nataraj}, journal={ArXiv}, year={2018}, volume={abs/1812.02261} }

In the era of big data, an important weapon in a machine learning researcher's arsenal is a scalable Support Vector Machine (SVM) algorithm. SVMs are extensively used for solving classification problems. Traditional algorithms for learning SVMs often scale super linearly with training set size which becomes infeasible very quickly for large data sets. In recent years, scalable algorithms have been designed which study the primal or dual formulations of the problem. This often suggests a way to…

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