An Experimental Evaluation of Large Scale GBDT Systems
Summary: Systematic evaluation of distributed GBDT data management policies; introduces a quadrant model by data partitioning and storage. Proposes Vero (vertical partitioning + row-store) and benchmarks quadrants vs state-of-the-art, yielding workload-driven guidelines for policy choice. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Fangcheng Fu (Peking University; Tencent)
- 2. Jiawei Jiang (Peking University; Tencent)
- 3. Yingxia Shao (Beijing Institute of Technology)
- 4. Bin Cui (Peking University)
BibTeX Citation
@article{fu_vldb19,
title = {{An Experimental Evaluation of Large Scale GBDT Systems}},
author = {Fu, Fangcheng and Jiang, Jiawei and Shao, Yingxia and Cui, Bin},
journal = {PVLDB},
series = {{VLDB} '19},
volume = {12},
number = {11},
pages = {1357--1370},
doi = {10.14778/3342263.3342273},
url = {https://doi.org/10.14778/3342263.3342273},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,277 | Privacy Preserving Vertical Federated Learning for Tree-based Models | 2020 | VLDB | 0.00011237888 |
| 2,007 | VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning | 2021 | SIGMOD | 9.198944e-05 |
| 3,240 | Towards Demystifying Serverless Machine Learning Training | 2021 | SIGMOD | 7.5002772e-05 |
| 3,311 | BlindFL: Vertical Federated Machine Learning without Peeking into Your Data | 2022 | SIGMOD | 7.4392547e-05 |
| 6,674 | Reliable Data Distillation on Graph Convolutional Network | 2020 | SIGMOD | 5.7125691e-05 |
| 8,812 | FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement | 2023 | SIGMOD | 5.2722828e-05 |
| 9,556 | Towards an Optimized GROUP BY Abstraction for Large-Scale Machine Learning | 2021 | VLDB | 5.1572248e-05 |
| 10,043 | The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format | 2024 | SIGMOD | 5.0921006e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12 | C-Store: A Column-oriented DBMS | 2005 | VLDB | 0.00068998927 |
| 61 | Integrating Compression and Execution in Column-Oriented Database Systems | 2006 | SIGMOD | 0.000392237 |
| 83 | Space-Efficient Online Computation of Quantile Summaries | 2001 | SIGMOD | 0.00035978046 |
| 195 | Integrating Vertical and Horizontal Partitioning into Automated Physical Database Design | 2004 | SIGMOD | 0.00025628849 |
| 331 | Column-Stores vs. Row-Stores: How Different Are They Really? | 2008 | SIGMOD | 0.0002077683 |
| 1,167 | DimmWitted: A Study of Main-Memory Statistical Analytics | 2014 | VLDB | 0.00011729888 |
| 2,184 | Heterogeneity-aware Distributed Parameter Servers | 2017 | SIGMOD | 8.8958335e-05 |
| 2,798 | Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries | 2018 | VLDB | 7.9933329e-05 |
| 5,433 | PS2: Parameter Server on Spark | 2019 | SIGMOD | 6.1308667e-05 |
| 9,846 | DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions | 2018 | SIGMOD | 5.121318e-05 |
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