Faster Differentially Private Top-$k$ Selection: A Joint Exponential Mechanism with Pruning Article Swipe
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2411.09552
We study the differentially private top-$k$ selection problem, aiming to identify a sequence of $k$ items with approximately the highest scores from $d$ items. Recent work by Gillenwater et al. (ICML '22) employs a direct sampling approach from the vast collection of $d^{\,Θ(k)}$ possible length-$k$ sequences, showing superior empirical accuracy compared to previous pure or approximate differentially private methods. Their algorithm has a time and space complexity of $\tilde{O}(dk)$. In this paper, we present an improved algorithm with time and space complexity $O(d + k^2 / ε\cdot \ln d)$, where $ε$ denotes the privacy parameter. Experimental results show that our algorithm runs orders of magnitude faster than their approach, while achieving similar empirical accuracy.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2411.09552
- https://arxiv.org/pdf/2411.09552
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4404451278
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4404451278Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2411.09552Digital Object Identifier
- Title
-
Faster Differentially Private Top-$k$ Selection: A Joint Exponential Mechanism with PruningWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-11-14Full publication date if available
- Authors
-
Haorui Wu, Hanwen ZhangList of authors in order
- Landing page
-
https://arxiv.org/abs/2411.09552Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2411.09552Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2411.09552Direct OA link when available
- Concepts
-
Mechanism (biology), Pruning, Joint (building), Selection (genetic algorithm), Exponential function, Computer science, Mathematics, Artificial intelligence, Biology, Botany, Physics, Engineering, Mathematical analysis, Structural engineering, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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