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Fast and Robust Low-Rank Learning over Networks: A Decentralized Matrix Quantile Regression Approach
Journal of Computational and Graphical Statistics ( IF 1.4 ) Pub Date : 2024-05-09 , DOI: 10.1080/10618600.2024.2353640 Nan Qiao 1 , Canyi Chen 2
Journal of Computational and Graphical Statistics ( IF 1.4 ) Pub Date : 2024-05-09 , DOI: 10.1080/10618600.2024.2353640 Nan Qiao 1 , Canyi Chen 2
Affiliation
Decentralized low-rank learning is an active research domain with extensive practical applications. A common approach to producing low-rank and robust estimations is to employ a combination of the ...
中文翻译:
通过网络进行快速、鲁棒的低秩学习:分散矩阵分位数回归方法
去中心化低秩学习是一个活跃的研究领域,具有广泛的实际应用。产生低秩和稳健估计的常见方法是采用......的组合
更新日期:2024-05-09
中文翻译:
![](https://scdn.x-mol.com/jcss/images/paperTranslation.png)
通过网络进行快速、鲁棒的低秩学习:分散矩阵分位数回归方法
去中心化低秩学习是一个活跃的研究领域,具有广泛的实际应用。产生低秩和稳健估计的常见方法是采用......的组合