DeltaBoost: Gradient Boosting Decision Trees with Efficient Machine Unlearning

Summary: DeltaBoost tailors GBDT for efficient unlearning, enabling deletion of specific records with preserved utility. Robust GBDT-like design with decoupled training minimizes inter-tree dependence, delivering up to 100x speedup over retraining on five datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 6671
Venue: SIGMOD
Year: 2023
Pagerank: 4.7180617e-05
Overall Rank: 7,489 | 47.91%
DOI: 10.1145/3589313

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
11,096	Snapcase – Regain Control over Your Predictions with Low-Latency Machine Unlearning	2024	VLDB	4.1945683e-05

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
3,806	HedgeCut: Maintaining Randomised Trees for Low-Latency Machine Unlearning	2021	SIGMOD	6.7492837e-05
5,433	"Amnesia" - A Selection of Machine Learning Models That Can Forget User Data Very Fast	2020	CIDR	5.5051607e-05

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
5,433	"Amnesia" - A Selection of Machine Learning Models That Can Forget User Data Very Fast	2020	CIDR	5.5051607e-05
10,881	Datamap-Driven Tabular Coreset Selection for Classifier Training	2025	VLDB	4.1945683e-05
7,797	Quantifying identifiability to choose and audit epsilon in differentially private deep learning	2021	VLDB	4.6482625e-05
4,975	An Experimental Evaluation of Large Scale GBDT Systems	2019	VLDB	5.79026e-05
40	Privacy-Preserving Data Mining	2000	SIGMOD	0.00074232718
3,806	HedgeCut: Maintaining Randomised Trees for Low-Latency Machine Unlearning	2021	SIGMOD	6.7492837e-05
9,469	DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions	2018	SIGMOD	4.3342363e-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
5,507	OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization	2023	VLDB	5.4724291e-05