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HEDA: Multi-Attribute Unbounded Aggregation over Homomorphically Encrypted Database

Summary: HEDA shows feasibility of multi-attribute unbounded aggregation (comparisons + final aggregates) directly over FHE-encrypted databases by combining two complementary FHE schemes (numeric vs binary) to exploit their strengths. Novel ciphertext-transformation bridges schemes for interaction-free query processing; prototype runs TPC-H and real workloads (8k rows ≈430s), demonstrating proof-of-concept OLAP on FHE despite large overheads. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13503
Venue
VLDB
Year
2023
Pagerank
7.7249939e-05
Overall Rank
3,131 | 78.52%
DOI
10.14778/3574245.3574248

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{ren_vldb23,
        title = {{HEDA: Multi-Attribute Unbounded Aggregation over Homomorphically Encrypted Database}},
        author = {Ren, Xuanle and Su, Le and Gu, Zhen and Wang, Sheng and Li, Feifei and Xie, Yuan and Bian, Song and Li, Chao and Zhang, Fan},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {4},
        pages = {601--614},
        doi = {10.14778/3574245.3574248},
        url = {https://doi.org/10.14778/3574245.3574248},
        year = {2023}
}

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