A debiased, sparsity-adaptive distributed PCA algorithm achieves consistency under finite sixth moments and outperforms prior methods, especially with few machines.
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Debiased distributed PCA under high dimensional spiked model
A debiased, sparsity-adaptive distributed PCA algorithm achieves consistency under finite sixth moments and outperforms prior methods, especially with few machines.