Gap-free Differentially Private PCA for Gaussian Data (arxiv.org)
arXiv:2609.31614v1 Announce Type: cross
Abstract: We give a gap-free differentially private algorithm for the principal component analysis (PCA) problem with Gaussian data.
Abstract: We give a gap-free differentially private algorithm for the principal component analysis (PCA) problem with Gaussian data.
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