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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)

Paper ID
5999
Venue
SIGMOD
Year
2020
Pagerank
4.3248081e-05
Overall Rank
9,578 | 33.37%
DOI
10.1145/3318464.3389784

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
6,081 Subgraph Matching over Graph Federation 2022 VLDB 5.2208051e-05
6,730 A Hierarchical Contraction Scheme for Querying Big Graphs 2022 SIGMOD 4.9479867e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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