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Pseudo-label based semi-supervised learning in the distributed machine learning frameworkOAEI

中文摘要

With the emergence of various intelligent applications,machine learning technologies face lots of challenges including large-scale models,application oriented real-time dataset and limited capabilities of nodes in practice.Th…查看全部>>

WANG Xiaoxi;WU Wenjun;YANG Feng;SI Pengbo;ZHANG Xuanyi;ZHANG Yanhua

Faculty of Information Technology,Beijing University of Technology,Beijing 100124,P.R.ChinaFaculty of Information Technology,Beijing University of Technology,Beijing 100124,P.R.ChinaFaculty of Information Technology,Beijing University of Technology,Beijing 100124,P.R.ChinaFaculty of Information Technology,Beijing University of Technology,Beijing 100124,P.R.ChinaBeijing Capital International Airport Co.,Ltd.,Beijing 101317,P.R.ChinaFaculty of Information Technology,Beijing University of Technology,Beijing 100124,P.R.China

计算机与自动化

distributed machine learning(DML)semi-superviseddeep neural network(DNN)

《高技术通讯:英文版》 2022 (2)

P.172-180,9

Supported by the National Key R&D Program of China(No.2020YFC1807904)the Natural Science Foundation of Beijing Municipality(No.L192002)the National Natural Science Foundation of China(No.U1633115)。

10.3772/j.issn.1006-6748.2022.02.007

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