In this paper we propose an algorithm, Simple Hebbian PCA, and prove that it is able to calculate the principal component analysis (PCA) in a distributed fashion across nodes. It simplifies existing network structures by removing intralayer weights, essentially cutting the number of weights that need to be trained in half.
@article{arxiv.1708.04498,
title = {Self-adaptive node-based PCA encodings},
author = {Leonard Johard and Victor Rivera and Manuel Mazzara and JooYoung Lee},
journal= {arXiv preprint arXiv:1708.04498},
year = {2017}
}