LDA*: A Robust and Large-scale Topic Modeling System
Summary: Systematic study of samplers (AliasLDA, F+LDA, LightLDA, WarpLDA) with a hybrid, document-length–aware approach for robust, large-scale topic modeling. Asymmetric parameter-server architecture shifts computation to the server, reduces communication bottlenecks in large deployments, delivering up to 10x gains over prior systems. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Lele Yu
- 2. Ce Zhang
- 3. Yingxia Shao
- 4. Bin Cui
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,678 | HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework | 2022 | VLDB | 8.3224016e-05 |
| 3,810 | SketchML: Accelerating Distributed Machine Learning with Data Sketches | 2018 | SIGMOD | 6.7375383e-05 |
| 4,972 | PS2: Parameter Server on Spark | 2019 | SIGMOD | 5.7894524e-05 |
| 5,169 | HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training | 2022 | SIGMOD | 5.642415e-05 |
| 9,471 | DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions | 2018 | SIGMOD | 4.3300949e-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 |
|---|---|---|---|---|
| 330 | An Architecture for Parallel Topic Models | 2010 | VLDB | 0.00027271063 |
| 1,946 | Heterogeneity-aware Distributed Parameter Servers | 2017 | SIGMOD | 9.9983926e-05 |
| 6,018 | WarpLDA: a Cache Efficient O(1) Algorithm for Latent Dirichlet Allocation | 2016 | VLDB | 5.2365238e-05 |
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