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Privacy and Accuracy-Aware AI/ML Model Deduplication

Summary: Formalizes DP-trained model deduplication, marrying privacy budgets with accuracy guarantees. Greedy base-model assignment and Sparse Vector Technique-based private validation curb storage and privacy costs; yields up to 35x compression and 43x speedup. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7320
Venue
SIGMOD
Year
2025
Pagerank
5.3483178e-05
Overall Rank
8,908 | 38.89%
DOI
10.1145/3725340

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{guan_sigmod25,
        title = {{Privacy and Accuracy-Aware AI/ML Model Deduplication}},
        author = {Guan, Hong and Yu, Lei and Zhou, Lixi and Xiong, Li and Chowdhury, Kanchan and Xie, Lulu and Xiao, Xusheng and Zou, Jia},
        series = {{SIGMOD} '25},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3725340},
        url = {https://dl.acm.org/doi/10.1145/3725340},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
10,224 DP-S4S: Accurate and Scalable Select-Join-Aggregate Query Processing with User-Level Differential Privacy 2026 SIGMOD 5.093636e-05
10,466 InferF: Declarative Factorization of AI/ML Inferences over Joins 2026 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 24 of 24 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
58 The Merge/Purge Problem for Large Databases 1995 SIGMOD 0.00040116748
62 Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis 2009 SIGMOD 0.00038970535
106 The MADlib Analytics Library or MAD Skills, the SQL 2012 VLDB 0.00033539462
306 Eliminating Fuzzy Duplicates in Data Warehouses 2002 VLDB 0.00021839661
415 SystemML: Declarative Machine Learning on Spark 2016 VLDB 0.0001888524
489 Distributed Representations of Tuples for Entity Resolution 2018 VLDB 0.0001761456
715 Learning Generalized Linear Models Over Normalized Data 2015 SIGMOD 0.00014655327
911 Ed-Join: An Efficient Algorithm for Similarity Joins With Edit Distance Constraints 2008 VLDB 0.00013283031
1,235 Towards Linear Algebra over Normalized Data 2017 VLDB 0.00011548457
1,488 Towards Model-based Pricing for Machine Learning in a Data Marketplace 2019 SIGMOD 0.00010612416
1,670 MISTIQUE: A System to Store and Query Model Intermediates for Model Diagnosis 2018 SIGMOD 0.00010045615
1,861 On Arbitrage-free Pricing for General Data Queries 2014 VLDB 9.5965642e-05
2,012 Understanding the Sparse Vector Technique for Differential Privacy 2017 VLDB 9.3073552e-05
2,055 Dedoop: Efficient Deduplication with Hadoop 2012 VLDB 9.2512023e-05
2,475 Deep Learning for Blocking in Entity Matching: A Design Space Exploration 2021 VLDB 8.5277654e-05
2,893 Distributed Data Deduplication 2016 VLDB 7.983961e-05
3,759 Dealer: An End-to-End Model Marketplace with Differential Privacy 2021 VLDB 7.14674e-05
5,195 Tensor Relational Algebra for Distributed Machine Learning System Design 2021 VLDB 6.3232105e-05
5,706 SmartLite: A DBMS-based Serving System for DNN Inference in Resource-constrained Environments 2024 VLDB 6.1144255e-05
6,376 DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance 2023 SIGMOD 5.893174e-05
6,708 Serving Deep Learning Models with Deduplication from Relational Databases 2022 VLDB 5.7964983e-05
7,841 Quantifying identifiability to choose and audit epsilon in differentially private deep learning 2021 VLDB 5.5335409e-05
8,001 Pangea: Monolithic Distributed Storage for Data Analytics 2019 VLDB 5.508791e-05
9,807 DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release 2024 VLDB 5.2151886e-05
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