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Principal Component Analysis in the local differential privacy model
Di Wang
, Jinhui Xu
Research output
:
Contribution to journal
›
Article
›
peer-review
22
Scopus citations
Overview
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Dive into the research topics of 'Principal Component Analysis in the local differential privacy model'. Together they form a unique fingerprint.
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Computer Science
Differential Privacy
100%
Principal Components
100%
Component Analysis
100%
Sparsity
33%
Eigenvalue
33%
Efficient Algorithm
33%
Dimensional Case
33%
Mathematics
PCA
100%
Minimax
66%
Upper Bound
33%
Eigenvalue
33%
Dimensional Case
33%
Keyphrases
Row-sparse
33%
Subspace Distance
33%