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AeroSketch: Near-Optimal Time Matrix Sketch Framework for Persistent, Sliding Window, and Distributed Streams

Summary: AeroSketch: matrix-sketch framework for persistent, sliding-window, and distributed streams with optimal space/communication and near-optimal update time. Uses RandNLA to avoid repeated cubic factorizations, cutting tight-error updates to ~quadratic while preserving approximation quality. (summarized by gpt-5.4-mini on Apr 11 2026)

Paper ID
7639
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,427 | 28.47%
DOI
10.1145/3786622

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BibTeX Citation

@inproceedings{yin_sigmod26,
        title = {{AeroSketch: Near-Optimal Time Matrix Sketch Framework for Persistent, Sliding Window, and Distributed Streams}},
        author = {Yin, Hanyan and Wen, Dongxie and Li, Jiajun and Wei, Zhewei and Zhang, Xiao and Zhao, Peng and Zhou, Zhi-Hua},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3786622},
        url = {https://dl.acm.org/doi/10.1145/3786622},
        year = {2026}
}

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