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Hu-Fu: A Data Federation System for Secure Spatial Queries

Summary: Hu-Fu is the first data federation system for secure spatial queries, enabling privacy-preserving analytics over cross-owner urban data. It achieves high usability and efficiency by decomposing queries into plaintext operators and minimizing secure operators, demonstrated on cross-company taxi data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12836
Venue
VLDB
Year
2022
Pagerank
4.4039656e-05
Overall Rank
9,050 | 37.05%
DOI
10.14778/3554821.3554849

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
7,072 FedSQ: A Secure System for Federated Vector Similarity Queries 2024 VLDB 4.842703e-05
11,221 TEE-based General-purpose Computational Backend for Secure Delegated Data Processing 2023 SIGMOD 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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