Dealer: An End-to-End Model Marketplace with Differential Privacy

Summary: Dealer presents the first end-to-end differentially private marketplace for ML models, pricing owners and buyers using Shapley value/coverage plus privacy and noise sensitivity. Dynamic programs optimize arbitrage-free pricing and budgeted training for maximum Shapley coverage. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: hbed0c54033f2c497
Venue: VLDB
Year: 2021
Pagerank: 7.0216208e-05
Overall Rank: 3,782 | 74.59%
DOI: 10.14778/3447689.3447700
PDF: Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

1. Jinfei Liu (Zhejiang University)
2. Jian Lou (Emory University)
3. Junxu Liu (Renmin University of China)
4. Li Xiong (Emory University)
5. Jian Pei (Simon Fraser University)
6. Jimeng Sun (University of Illinois Urbana-Champaign)

BibTeX Citation

@article{liu_vldb21,
        title = {{Dealer: An End-to-End Model Marketplace with Differential Privacy}},
        author = {Liu, Jinfei and Lou, Jian and Liu, Junxu and Xiong, Li and Pei, Jian and Sun, Jimeng},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {6},
        pages = {957--969},
        doi = {10.14778/3447689.3447700},
        url = {https://doi.org/10.14778/3447689.3447700},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 20 of 20 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
3,686	Secure Shapley Value for Cross-Silo Federated Learning	2023	VLDB	7.095629e-05
3,731	Protecting Data Markets from Strategic Buyers	2022	SIGMOD	7.0660724e-05
4,906	Data-Sharing Markets: Model, Protocol, and Algorithms to Incentivize the Formation of Data-Sharing Consortia	2023	SIGMOD	6.3594272e-05
4,929	Efficient Sampling Approaches to Shapley Value Approximation	2023	SIGMOD	6.3471946e-05
6,116	Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets	2023	VLDB	5.8789701e-05
6,393	On Shapley Value in Data Assemblage Under Independent Utility	2022	VLDB	5.7982545e-05
7,244	Data and AI Model Markets: Opportunities for Data and Model Sharing, Discovery, and Integration	2023	VLDB	5.5747452e-05
8,156	P-Shapley: Shapley Values on Probabilistic Classifiers	2024	VLDB	5.3875084e-05
8,312	Demonstration of Dealer: An End-to-End Model Marketplace with Differential Privacy	2021	VLDB	5.3562257e-05
9,080	Privacy and Accuracy-Aware AI/ML Model Deduplication	2025	SIGMOD	5.2258409e-05
9,728	Shapley Value Estimation Based on Differential Matrix	2025	SIGMOD	5.1325223e-05
10,426	ASSS: Adaptive Stratified Sampling for Shapley-like Values	2026	SIGMOD	4.9769913e-05
10,604	Reliable and Private Utility Signaling for Data Markets	2026	SIGMOD	4.9769913e-05
10,834	CaSh: Shapley Value Computation with Cache Optimization	2026	VLDB	4.9769913e-05
10,874	Local Shapley: Model-Induced Locality and Optimal Reuse in Data Valuation	2026	VLDB	4.9769913e-05
11,211	Computing Inconsistency Measures Under Differential Privacy	2025	SIGMOD	4.9769913e-05
11,361	Privacy-Enhanced Database Synthesis for Benchmark Publishing	2025	VLDB	4.9769913e-05
11,540	A Profit-Maximizing Data Marketplace with Differentially Private Federated Learning under Price Competition	2024	SIGMOD	4.9769913e-05
11,558	Performance-Based Pricing for Federated Learning via Auction	2024	VLDB	4.9769913e-05
11,649	DataPrice: An Interactive System for Pricing Datasets in Data Marketplaces	2024	VLDB	4.9769913e-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.

Rank	Cited Paper	Year	Venue	Pagerank
894	Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms	2019	VLDB	0.00013206323
1,363	Towards Model-based Pricing for Machine Learning in a Data Marketplace	2019	SIGMOD	0.00010912672
1,859	On Arbitrage-free Pricing for General Data Queries	2014	VLDB	9.4873717e-05
2,338	Answering Multi-Dimensional Analytical Queries under Local Differential Privacy	2019	SIGMOD	8.6165753e-05
2,389	Query-Based Data Pricing	2012	PODS	8.5341063e-05
2,714	Toward Practical Query Pricing with QueryMarket	2013	SIGMOD	8.0980837e-05
3,987	Revenue Maximization for Query Pricing	2020	VLDB	6.8697118e-05

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#	Overall Rank	Paper	Year	Venue
1	8,005	Quantifying identifiability to choose and audit epsilon in differentially private deep learning	2021	VLDB
2	10,604	Reliable and Private Utility Signaling for Data Markets	2026	SIGMOD
3	11,649	DataPrice: An Interactive System for Pricing Datasets in Data Marketplaces	2024	VLDB
4	11,558	Performance-Based Pricing for Federated Learning via Auction	2024	VLDB
5	10,621	A Game Theory Approach for Negotiating in Data Marketplaces	2026	SIGMOD
6	6,116	Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets	2023	VLDB
7	3,731	Protecting Data Markets from Strategic Buyers	2022	SIGMOD
8	1,363	Towards Model-based Pricing for Machine Learning in a Data Marketplace	2019	SIGMOD
9	11,540	A Profit-Maximizing Data Marketplace with Differentially Private Federated Learning under Price Competition	2024	SIGMOD
10	8,312	Demonstration of Dealer: An End-to-End Model Marketplace with Differential Privacy	2021	VLDB