Querying Shared Data with Security Heterogeneity
Summary: Security-heterogeneous data sharing for distributed SQL using toll functions tied to data-sharing agreements. Formalizes query answering as a bi-criteria optimization to minimize toll and parallel cost; despite PSPACE-hardness, offers scalable approximate algorithms with empirical validation. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yang Cao (University of Edinburgh)
- 2. Wenfei Fan (Beihang University; Shenzhen University; University of Edinburgh)
- 3. Yanghao Wang (University of Edinburgh)
- 4. Ke Yi (Hong Kong University of Science and Technology)
BibTeX Citation
@inproceedings{cao_sigmod20,
title = {{Querying Shared Data with Security Heterogeneity}},
author = {Cao, Yang and Fan, Wenfei and Wang, Yanghao and Yi, Ke},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3389784},
url = {https://dl.acm.org/doi/10.1145/3318464.3389784},
year = {2020}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,581 | Subgraph Matching over Graph Federation | 2022 | VLDB | 6.1624715e-05 |
| 6,876 | A Hierarchical Contraction Scheme for Querying Big Graphs | 2022 | SIGMOD | 5.7483615e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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