Double-Anonymous Sketch: Achieving Top-K-fairness for Finding Global Top-K Frequent Items
Summary: Proposes Double-Anonymous sketch to compute global top-K across disjoint streams with top-K-fairness. Leverages double-anonymity, hot panning, and early freezing; provides theoretical guarantees and extensive experiments showing substantial error reductions vs state-of-the-art; open-source code. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yikai Zhao (Peking University; Peng Cheng Laboratory)
- 2. Wenchen Han (Peking University)
- 3. Zheng Zhong (Peking University)
- 4. Yinda Zhang (Peking University)
- 5. Tong Yang (Peking University; Peng Cheng Laboratory)
- 6. Bin Cui (Peking University)
BibTeX Citation
@inproceedings{zhao_sigmod23,
title = {{Double-Anonymous Sketch: Achieving Top-K-fairness for Finding Global Top-K Frequent Items}},
author = {Zhao, Yikai and Han, Wenchen and Zhong, Zheng and Zhang, Yinda and Yang, Tong and Cui, Bin},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3588933},
url = {https://dl.acm.org/doi/10.1145/3588933},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,403 | Near-Optimal Per-Key Streaming Quantile Estimation | 2027 | SIGMOD | 4.9605343e-05 |
| 10,610 | SieveSketch: A Fine-grained and Adaptive Sketch Framework for Accurate Frequency Estimation | 2026 | SIGMOD | 4.9605343e-05 |
| 11,130 | CounterSnake: A lossless and generalized compression framework for diverse sketches | 2026 | VLDB | 4.9605343e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 24 of 24 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 7,413 | Efficient and Generic Evaluation of Ranked Queries | 2011 | SIGMOD |
| 2 | 1,329 | Augmented Sketch: Faster and More Accurate Stream Processing | 2016 | SIGMOD |
| 3 | 3,391 | Ad-hoc Top-k Query Answering for Data Streams | 2007 | VLDB |
| 4 | 8,060 | JoinSketch: A Sketch Algorithm for Accurate and Unbiased Inner-Product Estimation | 2023 | SIGMOD |
| 5 | 7,280 | PR-Sketch: Monitoring Per-key Aggregation of Streaming Data with Nearly Full Accuracy | 2021 | VLDB |
| 6 | 5,005 | Pyramid Sketch: a Sketch Framework for Frequency Estimation of Data Streams | 2017 | VLDB |
| 7 | 3,064 | Pan-private Algorithms Via Statistics on Sketches | 2011 | PODS |
| 8 | 10,530 | Fair-Count-Min: Frequency Estimation under Equal Group-wise Approximation Factor | 2026 | SIGMOD |
| 9 | 10,578 | Sketch-based Secure Query Processing for Streaming Data | 2026 | SIGMOD |
| 10 | 7,714 | Local Differentially Private Heavy Hitter Detection in Data Streams with Bounded Memory | 2024 | SIGMOD |