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)
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Authors
- 1. Hanyan Yin
- 2. Dongxie Wen
- 3. Jiajun Li
- 4. Zhewei Wei
- 5. Xiao Zhang
- 6. Peng Zhao
- 7. Zhi-Hua Zhou
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,759 | A Simpler and More Efficient Deterministic Scheme for Finding Frequent Items over Sliding Windows | 2006 | PODS | 8.1636123e-05 |
| 5,909 | At-the-time and Back-in-time Persistent Sketches | 2021 | SIGMOD | 5.2769377e-05 |
| 6,602 | Continuous Matrix Approximation on Distributed Data | 2014 | VLDB | 4.9971153e-05 |
| 6,774 | Matrix Sketching Over Sliding Windows | 2016 | SIGMOD | 4.9299348e-05 |
| 7,929 | Optimal Approximate Matrix Multiplication over Sliding Windows | 2026 | VLDB | 4.613363e-05 |
| 7,949 | Efficient Matrix Sketching over Distributed Data | 2017 | PODS | 4.613363e-05 |
| 9,215 | Optimal Matrix Sketching over Sliding Windows | 2024 | VLDB | 4.3716847e-05 |
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| 5,369 | Pyramid Sketch: a Sketch Framework for Frequency Estimation of Data Streams | 2017 | VLDB | 5.5434712e-05 |
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| 7,834 | Sketch-based Querying of Distributed Sliding-Window Data Streams | 2012 | VLDB | 4.6382551e-05 |
| 5,984 | Streaming Anomaly Detection Using Randomized Matrix Sketching | 2016 | VLDB | 5.244512e-05 |
| 7,949 | Efficient Matrix Sketching over Distributed Data | 2017 | PODS | 4.613363e-05 |
| 9,215 | Optimal Matrix Sketching over Sliding Windows | 2024 | VLDB | 4.3716847e-05 |
| 6,774 | Matrix Sketching Over Sliding Windows | 2016 | SIGMOD | 4.9299348e-05 |