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FedAuxHMTL: Federated Auxiliary Hard-Parameter Sharing Multi-Task Learning for Network Edge Traffic Classification

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Ahmed, Faisal, Lee, Myungjin, Subramaniam, Suresh, Matsuura, Motoharu, Hasegawa, Hiroshi, Lin, Shih-Chun
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Distributed, Parallel, and Cluster Computing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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