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Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs

Summary: RiseFL achieves simultaneous input privacy and integrity in federated learning with low-cost ZKPs by converting strict integrity checks into probabilistic hypothesis tests and using a hybrid commitment. Optimized ZKP gen/verify yields 28–164× client speedups vs ACORN/RoFL/EIFFeL with formal proofs and experiments. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13461
Venue
VLDB
Year
2024
Pagerank
4.5065275e-05
Overall Rank
8,459 | 41.16%
DOI
10.14778/3665844.3665860

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
9,643 PoneglyphDB: Efficient Non-interactive Zero-Knowledge Proofs for Arbitrary SQL-Query Verification 2025 SIGMOD 4.3109001e-05
10,101 Privacy-preserving and Verifiable Causal Prescriptive Analytics 2026 SIGMOD 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1,143 Privacy Preserving Vertical Federated Learning for Tree-based Models 2020 VLDB 0.00013710269
1,895 VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning 2021 SIGMOD 0.00010180896
3,506 BlindFL: Vertical Federated Machine Learning without Peeking into Your Data 2022 SIGMOD 7.0291192e-05
4,805 Projected Federated Averaging with Heterogeneous Differential Privacy 2022 VLDB 5.9102798e-05
5,222 Enabling SQL-based Training Data Debugging for Federated Learning 2022 VLDB 5.6210545e-05
5,669 Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy 2022 VLDB 5.380575e-05
6,257 ZKSQL: Verifiable and Efficient Query Evaluation with Zero-Knowledge Proofs 2023 VLDB 5.1366858e-05
6,459 Practical Differentially Private and Byzantine-resilient Federated Learning 2023 SIGMOD 5.0556005e-05
6,502 Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System 2023 VLDB 5.0361846e-05
7,487 Incentive-Aware Decentralized Data Collaboration 2023 SIGMOD 4.7180617e-05
7,704 ExDRa: Exploratory Data Science on Federated Raw Data 2021 SIGMOD 4.6733838e-05
8,651 FederatedScope: A Flexible Federated Learning Platform for Heterogeneity 2023 VLDB 4.4757309e-05
9,323 FEAST: A Communication-efficient Federated Feature Selection Framework for Relational Data 2023 SIGMOD 4.3556432e-05
11,187 Regularized Pairwise Relationship based Analytics for Structured Data 2023 SIGMOD 4.1945683e-05
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