most citedFederated Learning as Variational Inference: A Scalable Expectation Propagation Approach

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cs.LG2016

Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated

Namrata Vaswani, Han Guo

Given a matrix of observed data, Principal Components Analysis (PCA) computes a small number of orthogonal directions that contain most of its variability. Provably accurate soluti…