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Secure Shapley Value for Cross-Silo Federated Learning

Summary: Secure Shapley-value computation for cross-silo FL without exposing client models or test data; proposes HESV (one-server HE) and SecSV (two-server) for privacy-preserving contribution evaluation. SecSV uses a hybrid HE/plaintext scheme, efficient secure matrix multiplication, and selective test-sample skipping to avoid expensive ciphertext–ciphertext multiplications, achieving 7.2–36.6× speedups over HESV with minor SV accuracy loss. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
h3d668d504385d2b0
Venue
VLDB
Year
2023
Pagerank
7.095629e-05
Overall Rank
3,686 | 75.23%
DOI
10.14778/3587136.3587141
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zheng_vldb23,
        title = {{Secure Shapley Value for Cross-Silo Federated Learning}},
        author = {Zheng, Shuyuan and Cao, Yang and Yoshikawa, Masatoshi},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {7},
        pages = {1657--1670},
        doi = {10.14778/3587136.3587141},
        url = {https://doi.org/10.14778/3587136.3587141},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

Rank Citing Paper Year Venue Pagerank
6,116 Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets 2023 VLDB 5.8789701e-05
8,216 Contributions Estimation in Federated Learning: A Comprehensive Experimental Evaluation 2024 VLDB 5.3748914e-05
9,354 DP-starJ: A Differential Private Scheme towards Analytical Star-Join Queries 2023 SIGMOD 5.1877346e-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
11,332 PS-MI: Accurate, Efficient, and Private Data Valuation in Vertical Federated Learning 2025 VLDB 4.9769913e-05
11,353 Federated and Balanced Clustering for High-dimensional Data 2025 VLDB 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
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

Rank Cited Paper Year Venue Pagerank
226 Limiting Privacy Breaches in Privacy Preserving Data Mining 2003 PODS 0.00023973554
894 Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms 2019 VLDB 0.00013206323
3,782 Dealer: An End-to-End Model Marketplace with Differential Privacy 2021 VLDB 7.0216208e-05
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