QStore: Quantization-Aware Compressed Model Storage
Summary: QStore losslessly co-stores low- and high-precision foundation models as the low-precision model plus compact residuals, avoiding redundant files. Lightweight decoding preserves fast access, delivering up to 2.2× storage savings and 1.8× faster loading. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Raunak Shah (University of Illinois Urbana-Champaign)
- 2. Zhaoheng Li (University of Illinois Urbana-Champaign)
- 3. Yongjoo Park (University of Illinois Urbana-Champaign)
BibTeX Citation
@article{shah_vldb26,
title = {{QStore: Quantization-Aware Compressed Model Storage}},
author = {Shah, Raunak and Li, Zhaoheng and Park, Yongjoo},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {3},
pages = {388--398},
doi = {10.14778/3778092.3778100},
url = {https://doi.org/10.14778/3778092.3778100},
year = {2026}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,600 | Chipmink: Efficient Delta Identification for Massive Object Graphs | 2026 | VLDB | 5.093636e-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 |
|---|---|---|---|---|
| 640 | Materialization Optimizations for Feature Selection Workloads | 2014 | SIGMOD | 0.00015409494 |
| 1,644 | Compressed Linear Algebra for Large-Scale Machine Learning | 2016 | VLDB | 0.00010132912 |
| 3,092 | DeepSqueeze: Deep Semantic Compression for Tabular Data | 2020 | SIGMOD | 7.7679406e-05 |
| 3,269 | ALP: Adaptive Lossless floating-Point Compression | 2023 | SIGMOD | 7.5809516e-05 |
| 6,485 | Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent | 2019 | SIGMOD | 5.8657457e-05 |
| 9,106 | AirIndex: Versatile Index Tuning Through Data and Storage | 2023 | SIGMOD | 5.3226167e-05 |
| 9,145 | SIEVE: Effective Filtered Vector Search with Collection of Indexes | 2025 | VLDB | 5.3150984e-05 |
| 10,075 | ElasticNotebook: Enabling Live Migration for Computational Notebooks | 2024 | VLDB | 5.1613298e-05 |
| 10,715 | Demo of Kishu: Time-Traveling for Computational Notebooks | 2025 | SIGMOD | 5.093636e-05 |
| 11,111 | Kishu: Time-Traveling for Computational Notebooks | 2025 | VLDB | 5.093636e-05 |
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