Arpita Gang

Fast and Communication-efficient Distributed Pca

This paper focuses on principal components analysis (PCA), which involves estimating the principal subspace of a data covariance matrix, in the age of big data. Massively large datasets often require storage across multiple machines, which precludes the use of cen-tralized PCA solutions. While a num…