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Homomorphic Compression: Making Text Processing on Compression Unlimited

Summary: Proposes homomorphic compression to run text processing directly on compressed data. HOCO implements three schemes in a modular OO design; evaluated on six real datasets; reveals trade-offs among compression ratio, ops supported, and efficiency. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6834
Venue
SIGMOD
Year
2023
Pagerank
5.093636e-05
Overall Rank
11,425 | 21.62%
DOI
10.1145/3626765

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BibTeX Citation

@inproceedings{guan_sigmod23,
        title = {{Homomorphic Compression: Making Text Processing on Compression Unlimited}},
        author = {Guan, Jiawei and Zhang, Feng and Ma, Siqi and Chen, Kuangyu and Hu, Yihua and Chen, Yuxing and Pan, Anqun and Du, Xiaoyong},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3626765},
        url = {https://dl.acm.org/doi/10.1145/3626765},
        year = {2023}
}

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