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)
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Authors
- 1. Xuan Luo (Simon Fraser University)
- 2. Jian Pei (Duke University; Simon Fraser University)
- 3. Zicun Cong (Simon Fraser University)
- 4. Cheng Xu (Simon Fraser University)
BibTeX Citation
@article{luo_vldb22,
title = {{On Shapley Value in Data Assemblage Under Independent Utility}},
author = {Luo, Xuan and Pei, Jian and Cong, Zicun and Xu, Cheng},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {11},
pages = {2761--2773},
doi = {10.14778/3551793.3551829},
url = {https://doi.org/10.14778/3551793.3551829},
year = {2022}
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