Distributed training and scalability for the particle clustering method UCluster

In recent years, machine-learning methods have become increasingly important for the experiments at the Large Hadron Collider (LHC). They are utilised in everything from trigger systems to reconstruction and data analysis. The recent UCluster method is a general model providing unsupervised clusteri...

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Bibliographic Details
Main Authors: Sunneborn Gudnadottir Olga, Gedon Daniel, Desmarais Colin, Bengtsson Bernander Karl, Sainudiin Raazesh, Gonzalez Suarez Rebeca
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:EPJ Web of Conferences
Online Access:https://www.epj-conferences.org/articles/epjconf/pdf/2021/05/epjconf_chep2021_02054.pdf