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Distributed Learning for Principal Eigenspaces without Moment Constraints
Journal of Computational and Graphical Statistics ( IF 1.4 ) Pub Date : 2024-04-12 , DOI: 10.1080/10618600.2024.2341889
Yong He 1 , Zichen Liu 2, 3 , Yalin Wang 1
Affiliation  

Distributed Principal Component Analysis (PCA) has been studied to deal with the case when data are stored across multiple machines and communication cost or privacy concerns prohibit the computati...

中文翻译:

无矩约束主特征空间的分布式学习

分布式主成分分析(PCA)已被研究用于处理数据存储在多台机器上并且通信成本或隐私问题禁止计算的情况。
更新日期:2024-04-12
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