Fast and Private Max-Sum Diversification
Summary: Introduces differential-private algorithms for max-sum diversification under cardinality and matroid constraints, with near-optimal utility. Surprisingly, the methods can outperform existing non-private algorithms in speed while retaining strong utility under stringent privacy. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Ron Zadicario (Tel Aviv University)
- 2. Tova Milo (Tel Aviv University)
BibTeX Citation
@article{zadicario_vldb26,
title = {{Fast and Private Max-Sum Diversification}},
author = {Zadicario, Ron and Milo, Tova},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {11},
pages = {3146--3159},
doi = {10.14778/3836663.3836679},
url = {https://doi.org/10.14778/3836663.3836679},
year = {2026}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,174 | Top-k Bounded Diversification | 2012 | SIGMOD | 8.917444e-05 |
| 2,759 | Composable Core-sets for Diversity and Coverage Maximization | 2014 | PODS | 8.0503817e-05 |
| 3,338 | On the Complexity of Query Result Diversification | 2013 | VLDB | 7.4103278e-05 |
| 5,085 | Differential Privacy and the US Census | 2019 | PODS | 6.282326e-05 |
| 5,246 | MapReduce and Streaming Algorithms for Diversity Maximization in Metric Spaces of Bounded Doubling Dimension | 2017 | VLDB | 6.213078e-05 |
| 6,247 | RC-Index: Diversifying Answers to Range Queries | 2018 | VLDB | 5.8360766e-05 |
| 7,513 | Computing A Well-Representative Summary of Conjunctive Query Results | 2024 | PODS | 5.5049463e-05 |
| 7,776 | Efficient Indexes for Diverse Top-k Range Queries | 2020 | PODS | 5.4546499e-05 |
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