CaSh: Shapley Value Computation with Cache Optimization
Summary: CaSh accelerates sampling-based Shapley approximation by caching repeated coalition utility evaluations, treating the utility function as stateful rather than a black box. Its direct-mapped cache integrates algorithm-agnostically, yielding 8–29% speedups with no additional approximation error. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Jiajun Tang (Zhejiang University)
- 2. Xiaokai Mao (Zhejiang University)
- 3. Ning Liu (Zhejiang University)
- 4. Jinfei Liu (Zhejiang University)
- 5. Kui Ren (Zhejiang University)
BibTeX Citation
@article{tang_vldb26,
title = {{CaSh: Shapley Value Computation with Cache Optimization}},
author = {Tang, Jiajun and Mao, Xiaokai and Liu, Ning and Liu, Jinfei and Ren, Kui},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {10},
pages = {2777--2789},
doi = {10.14778/3828612.3828631},
url = {https://doi.org/10.14778/3828612.3828631},
year = {2026}
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 578 | The Complexity of Causality and Responsibility for Query Answers and non-Answers | 2011 | VLDB | 0.00016096504 |
| 2,217 | Computing the Shapley Value of Facts in Query Answering | 2022 | SIGMOD | 8.8172185e-05 |
| 3,684 | Secure Shapley Value for Cross-Silo Federated Learning | 2023 | VLDB | 7.0989896e-05 |
| 3,780 | Dealer: An End-to-End Model Marketplace with Differential Privacy | 2021 | VLDB | 7.0249464e-05 |
| 4,928 | Efficient Sampling Approaches to Shapley Value Approximation | 2023 | SIGMOD | 6.3502007e-05 |
| 5,055 | ShapGraph: An Holistic View of Explanations through Provenance Graphs and Shapley Values | 2022 | SIGMOD | 6.2944577e-05 |
| 6,553 | A Comprehensive Study of Shapley Value in Data Analytics | 2025 | VLDB | 5.7499619e-05 |
| 11,643 | DataPrice: An Interactive System for Pricing Datasets in Data Marketplaces | 2024 | VLDB | 4.9793485e-05 |
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