Back to papers
Dealer: An End-to-End Model Marketplace with Differential Privacy
Summary: Dealer: end-to-end model marketplace with differential privacy, mapping Shapley-based data-owner compensation to DP-aware pricing. Pricing and training are DP-constrained optimizations, solved with DP to maximize revenue and Shapley coverage under budget.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 12610
- Venue
- VLDB
- Year
- 2021
- Pagerank
- 6.7127853e-05
- Overall Rank
- 3,836 | 73.35%
- DOI
-
10.14778/3447689.3447700
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 17 of 17 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 4,140 |
Protecting Data Markets from Strategic Buyers |
2022 |
SIGMOD |
6.4114048e-05 |
| 4,723 |
Secure Shapley Value for Cross-Silo Federated Learning |
2023 |
VLDB |
5.9644411e-05 |
| 4,864 |
Data-Sharing Markets: Model, Protocol, and Algorithms to Incentivize the Formation of Data-Sharing Consortia |
2023 |
SIGMOD |
5.8641082e-05 |
| 6,263 |
Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets |
2023 |
VLDB |
5.1300221e-05 |
| 6,728 |
On Shapley Value in Data Assemblage Under Independent Utility |
2022 |
VLDB |
4.9443317e-05 |
| 7,227 |
Data and AI Model Markets: Opportunities for Data and Model Sharing, Discovery, and Integration |
2023 |
VLDB |
4.7906919e-05 |
| 7,380 |
Efficient Sampling Approaches to Shapley Value Approximation |
2023 |
SIGMOD |
4.7417195e-05 |
| 7,935 |
P-Shapley: Shapley Values on Probabilistic Classifiers |
2024 |
VLDB |
4.6089395e-05 |
| 8,055 |
Demonstration of Dealer: An End-to-End Model Marketplace with Differential Privacy |
2021 |
VLDB |
4.5906619e-05 |
| 10,107 |
Reliable and Private Utility Signaling for Data Markets |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,403 |
Shapley Value Estimation Based on Differential Matrix |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,508 |
Privacy and Accuracy-Aware AI/ML Model Deduplication |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,522 |
Computing Inconsistency Measures Under Differential Privacy |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,731 |
Privacy-Enhanced Database Synthesis for Benchmark Publishing |
2025 |
VLDB |
4.1905499e-05 |
| 10,981 |
A Profit-Maximizing Data Marketplace with Differentially Private Federated Learning under Price Competition |
2024 |
SIGMOD |
4.1905499e-05 |
| 11,006 |
Performance-Based Pricing for Federated Learning via Auction |
2024 |
VLDB |
4.1905499e-05 |
| 11,122 |
DataPrice: An Interactive System for Pricing Datasets in Data Marketplaces |
2024 |
VLDB |
4.1905499e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 7,799 |
Quantifying identifiability to choose and audit epsilon in differentially private deep learning |
2021 |
VLDB |
4.6438053e-05 |
| 10,107 |
Reliable and Private Utility Signaling for Data Markets |
2026 |
SIGMOD |
4.1905499e-05 |
| 11,122 |
DataPrice: An Interactive System for Pricing Datasets in Data Marketplaces |
2024 |
VLDB |
4.1905499e-05 |
| 11,006 |
Performance-Based Pricing for Federated Learning via Auction |
2024 |
VLDB |
4.1905499e-05 |
| 10,132 |
A Game Theory Approach for Negotiating in Data Marketplaces |
2026 |
SIGMOD |
4.1905499e-05 |
| 6,263 |
Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets |
2023 |
VLDB |
5.1300221e-05 |
| 4,140 |
Protecting Data Markets from Strategic Buyers |
2022 |
SIGMOD |
6.4114048e-05 |
| 1,891 |
Towards Model-based Pricing for Machine Learning in a Data Marketplace |
2019 |
SIGMOD |
0.0001018452 |
| 10,981 |
A Profit-Maximizing Data Marketplace with Differentially Private Federated Learning under Price Competition |
2024 |
SIGMOD |
4.1905499e-05 |
| 8,055 |
Demonstration of Dealer: An End-to-End Model Marketplace with Differential Privacy |
2021 |
VLDB |
4.5906619e-05 |