Enabling SQL-based Training Data Debugging for Federated Learning

Summary: Extends Rain-based SQL-based debugging to federated learning (FedRain) to prune mislabeled data causing unexpected model behavior. Then Frog refines the protocol for federated debugging, delivering security, accuracy, and efficiency over FedRain. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: hd268ce6e28e828b0
Venue: VLDB
Year: 2022
Pagerank: 6.2121767e-05
Overall Rank: 5,247 | 64.73%
DOI: 10.14778/3494124.3494125

Incoming Non-self Citations Over Time

Authors

1. Yejia Liu (Simon Fraser University)
2. Weiyuan Wu (Simon Fraser University)
3. Lampros Flokas (Columbia University)
4. Jiannan Wang (Simon Fraser University)
5. Eugene Wu (Columbia University)

BibTeX Citation

@article{liu_vldb22,
        title = {{Enabling SQL-based Training Data Debugging for Federated Learning}},
        author = {Liu, Yejia and Wu, Weiyuan and Flokas, Lampros and Wang, Jiannan and Wu, Eugene},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {3},
        pages = {388--400},
        doi = {10.14778/3494124.3494125},
        url = {https://doi.org/10.14778/3494124.3494125},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
6,554	Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System	2023	VLDB	5.7499619e-05
8,079	Incentive-Aware Decentralized Data Collaboration	2023	SIGMOD	5.3942942e-05
8,541	Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs	2024	VLDB	5.3192847e-05
9,654	FEAST: A Communication-efficient Federated Feature Selection Framework for Relational Data	2023	SIGMOD	5.1453267e-05

Outgoing Citations (Sorted by Pagerank)

Showing 18 of 18 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
17	Provenance Semirings	2007	PODS	0.00059752575
104	HoloClean: Holistic Data Repairs with Probabilistic Inference	2017	VLDB	0.00033690989
189	Scorpion: Explaining Away Outliers in Aggregate Queries	2013	VLDB	0.00025840026
483	ActiveClean: Interactive Data Cleaning For Statistical Modeling	2016	VLDB	0.00017590977
670	A Formal Approach to Finding Explanations for Database Queries	2014	SIGMOD	0.00014954494
819	Provenance for Aggregate Queries	2011	PODS	0.00013666629
883	HoloDetect: Few-Shot Learning for Error Detection	2019	SIGMOD	0.00013268059
1,051	Tiresias: The Database Oracle for How-To Queries	2012	SIGMOD	0.00012279821
1,153	Data Management Challenges in Production Machine Learning	2017	SIGMOD	0.00011798912
1,277	Privacy Preserving Vertical Federated Learning for Tree-based Models	2020	VLDB	0.00011237888
1,615	Sensitivity Analysis and Explanations for Robust Query Evaluation in Probabilistic Databases	2011	SIGMOD	0.00010067073
1,805	Raha: A Configuration-Free Error Detection System	2019	SIGMOD	9.59842e-05
1,981	Causality and Explanations in Databases	2014	VLDB	9.2586863e-05
2,160	DIFF: A Relational Interface for Large-Scale Data Explanation	2019	VLDB	8.9364035e-05
2,222	Explaining Query Answers with Explanation-Ready Databases	2016	VLDB	8.8109051e-05
2,371	SCODED: Statistical Constraint Oriented Data Error Detection	2020	SIGMOD	8.5615698e-05
2,598	Complaint-driven Training Data Debugging for Query 2.0	2020	SIGMOD	8.2385793e-05
6,817	Error Diagnosis and Data Profiling with Data X-Ray	2015	VLDB	5.6727207e-05

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