SSRNOther
Local Differential Privacy
A new method, LDPPPA, offers privacy protection for computing attribute means and user covariance matrices in local differential privacy-preserving principal component analysis, but struggles with attribute heterogeneity.
Featured in No. 73 on 6 Nov 2024 · 1 day after release
- Released
- 5 Nov 2024
- First featured
- No. 73 · 6 Nov 2024
- Published in
- Not yet, as far as Semantic Scholar knows
- Shares when featured
- 3
- Identifier
- SSRN 5009692
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