On Shapley Value in Data Assemblage Under Independent Utility
Summary: Independent-utility decomposition for data assemblage in data marketplaces enables tractable, exact Shapley value computation across many data owners. Identifies properties of independent utility and delivers fast exact Shapley algorithms; experiments on benchmarks show order-of-magnitude speedups with guaranteed exactness. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xuan Luo
- 2. Jian Pei
- 3. Zicun Cong
- 4. Cheng Xu
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,262 | Fast Shapley Value Computation in Data Assemblage Tasks as Cooperative Simple Games | 2024 | SIGMOD | 5.1349507e-05 |
| 6,263 | Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets | 2023 | VLDB | 5.1349507e-05 |
| 7,227 | Data and AI Model Markets: Opportunities for Data and Model Sharing, Discovery, and Integration | 2023 | VLDB | 4.7952919e-05 |
| 7,321 | Counterfactual Explanation of Shapley Value in Data Coalitions | 2024 | VLDB | 4.7629325e-05 |
| 8,666 | Contributions Estimation in Federated Learning: A Comprehensive Experimental Evaluation | 2024 | VLDB | 4.471975e-05 |
| 10,392 | Shapley Value Estimation Based on Differential Matrix | 2025 | SIGMOD | 4.1945683e-05 |
| 10,524 | Understanding the Black Box: A Deep Empirical Dive into Shapley Value Approximations for Tabular Data | 2025 | SIGMOD | 4.1945683e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next