Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets
Summary: Study of how sharded training for right‑to‑be‑forgotten unlearning affects equitable Shapley-based data valuation in model markets, proposing S‑Shapley — a sharded-structure-aware valuation. Prove S‑Shapley preserves fairness axioms, is #P‑complete, and give sampling approximations plus delta-based update algorithms for fast unlearning, with empirical validation. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Haocheng Xia (Zhejiang University)
- 2. Jinfei Liu (Zhejiang University)
- 3. Jian Lou (Zhejiang University)
- 4. Zhan Qin (Zhejiang University)
- 5. Kui Ren (Zhejiang University)
- 6. Yang Cao (Hokkaido University)
- 7. Li Xiong (Emory University)
BibTeX Citation
@article{xia_vldb23,
title = {{Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets}},
author = {Xia, Haocheng and Liu, Jinfei and Lou, Jian and Qin, Zhan and Ren, Kui and Cao, Yang and Xiong, Li},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {11},
pages = {3349--3362},
doi = {10.14778/3611479.3611531},
url = {https://doi.org/10.14778/3611479.3611531},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,045 | Contributions Estimation in Federated Learning: A Comprehensive Experimental Evaluation | 2024 | VLDB | 5.5008615e-05 |
| 8,250 | P-Shapley: Shapley Values on Probabilistic Classifiers | 2024 | VLDB | 5.4574671e-05 |
| 9,541 | Shapley Value Estimation Based on Differential Matrix | 2025 | SIGMOD | 5.2528121e-05 |
| 10,198 | ASSS: Adaptive Stratified Sampling for Shapley-like Values | 2026 | SIGMOD | 5.093636e-05 |
| 10,796 | Understanding the Black Box: A Deep Empirical Dive into Shapley Value Approximations for Tabular Data | 2025 | SIGMOD | 5.093636e-05 |
| 10,906 | A Comprehensive Study of Shapley Value in Data Analytics | 2025 | VLDB | 5.093636e-05 |
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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