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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
19
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
Component Analysis
100%
Principal Component
100%
Differential Privacy
100%
Models
100%
Sparsity
33%
Real World
33%
Eigenvalue
33%
Efficient Algorithm
33%
Dimensional Case
33%
Mathematics
PCA
100%
Minimax
66%
Parameters
66%
Upper Bound
33%
Dimensional Case
33%
Sample Size
33%
Algorithm
33%
Bounds
33%
Terms
33%
Subspace
33%
INIS
principal component analysis
100%
risks
66%
algorithms
33%
distance
33%
size
33%
datasets
33%
eigenvalues
33%