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Tight lower bound of sparse covariance matrix estimation in the local differential privacy model
Di Wang
, Jinhui Xu
Research output
:
Contribution to journal
›
Article
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peer-review
2
Scopus citations
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Dive into the research topics of 'Tight lower bound of sparse covariance matrix estimation in the local differential privacy model'. Together they form a unique fingerprint.
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Mathematics
Minimax
100%
Covariance Matrix Estimation
100%
Matrix
50%
Covariance Matrix
50%
Upper Bound
50%
Keyphrases
Assouad's Lemma
100%
Minimax Risk
100%
Row-sparsity
50%
Computer Science
Differential Privacy
100%
Covariance Matrix
100%
Sparsity
33%