Wenbo Jing

Distributed Tensor Principal Component Analysis with Data Heterogeneity

2024 · arXiv (Cornell University)

As tensors become widespread in modern data analysis, Tucker low-rank Principal Component Analysis (PCA) has become essential for dimensionality reduction and structural discovery in tensor datasets. Motivated by the common scenario where large-scale tensors are …