LFTF: A Framework for Efficient Tensor Analytics at Scale
Summary: Introduces LFTF, a distributed lock-free tensor-factorization algorithm that exploits asynchronous execution and problem reformulation for sparse, massive tensors. Delivers higher CPU/network throughput, 17× faster convergence, and substantially better scalability than prior methods. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Fan Yang (Chinese University of Hong Kong)
- 2. Fanhua Shang (Chinese University of Hong Kong)
- 3. Yuzhen Huang (Chinese University of Hong Kong)
- 4. James Cheng (Chinese University of Hong Kong)
- 5. Jinfeng Li (Chinese University of Hong Kong)
- 6. Yunjian Zhao (Chinese University of Hong Kong)
- 7. Ruihao Zhao (Chinese University of Hong Kong)
BibTeX Citation
@article{yang_vldb17,
title = {{LFTF: A Framework for Efficient Tensor Analytics at Scale}},
author = {Yang, Fan and Shang, Fanhua and Huang, Yuzhen and Cheng, James and Li, Jinfeng and Zhao, Yunjian and Zhao, Ruihao},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {7},
pages = {745--756},
doi = {10.14778/3055540.3055546},
url = {https://doi.org/10.14778/3055540.3055546},
year = {2017}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,693 | FlexPS: Flexible Parallelism Control in Parameter Server Architecture | 2018 | VLDB | 8.247004e-05 |
| 3,858 | A General and Efficient Querying Method for Learning to Hash | 2018 | SIGMOD | 7.067591e-05 |
| 11,341 | TUCKET: A Tensor Time Series Data Structure for Efficient and Accurate Factor Analysis over Time Ranges | 2024 | VLDB | 5.093636e-05 |
| 11,987 | The Best of Both Worlds: Big Data Programming with Both Productivity and Performance | 2017 | SIGMOD | 5.093636e-05 |
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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 |
|---|---|---|---|---|
| 2,615 | NOMAD: Non-locking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion | 2014 | VLDB | 8.340186e-05 |
| 3,789 | Husky: Towards a More Efficient and Expressive Distributed Computing Framework | 2016 | VLDB | 7.1240627e-05 |
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