OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization

Summary: OpBoost: vertical-FL tree boosting using order-preserving desensitization under distance-based LDP (dLDP) to preserve attribute order for split finding. Three dLDP desensitizers with optimized sampling trade privacy for distant pairs against utility, yielding better accuracy and efficiency than prior LDP and crypto-based methods. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 13057
Venue: VLDB
Year: 2023
Pagerank: 5.4724291e-05
Overall Rank: 5,507 | 61.69%
DOI: 10.14778/3565816.3565823

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,391	SecureXGB: A Secure and Efficient Multi-party Protocol for Vertical Federated XGBoost	2025	SIGMOD	4.1945683e-05
10,484	Femur: A Flexible Framework for Fast and Secure Querying from Public Key-Value Store	2025	SIGMOD	4.1945683e-05
10,684	Federated Incomplete Tabular Data Prediction with Missing Complementarity	2025	VLDB	4.1945683e-05
10,686	PS-MI: Accurate, Efficient, and Private Data Valuation in Vertical Federated Learning	2025	VLDB	4.1945683e-05

Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
324	Order Preserving Encryption for Numeric Data	2004	SIGMOD	0.00027444645
1,143	Privacy Preserving Vertical Federated Learning for Tree-based Models	2020	VLDB	0.00013710269
1,859	The Tao of Inference in Privacy-Protected Databases	2018	VLDB	0.0001029011
1,895	VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning	2021	SIGMOD	0.00010180896
2,227	Blowfish Privacy: Tuning Privacy-Utility Trade-offs using Policies	2014	SIGMOD	9.2421238e-05

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
6,459	Practical Differentially Private and Byzantine-resilient Federated Learning	2023	SIGMOD	5.0556005e-05
6,700	Differentially Private Vertical Federated Clustering	2023	VLDB	4.9563668e-05
11,043	Uldp-FL: Federated Learning with Across-Silo User-Level Differential Privacy	2024	VLDB	4.1945683e-05
4,115	Federated Heavy Hitter Analytics with Local Differential Privacy	2025	SIGMOD	6.4381114e-05
11,238	Olive: Oblivious Federated Learning on Trusted Execution Environment Against the Risk of Sparsification	2023	VLDB	4.1945683e-05
10,391	SecureXGB: A Secure and Efficient Multi-party Protocol for Vertical Federated XGBoost	2025	SIGMOD	4.1945683e-05
3,506	BlindFL: Vertical Federated Machine Learning without Peeking into Your Data	2022	SIGMOD	7.0291192e-05
7,489	DeltaBoost: Gradient Boosting Decision Trees with Efficient Machine Unlearning	2023	SIGMOD	4.7180617e-05
1,895	VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning	2021	SIGMOD	0.00010180896
1,143	Privacy Preserving Vertical Federated Learning for Tree-based Models	2020	VLDB	0.00013710269