NOMAD: Non-locking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion
Summary: Nomad is a lock-free, decentralized asynchronous algorithm for distributed matrix completion, featuring non-blocking inter-processor communication and dynamic transfer of variable ownership. Its updates remain serializable despite asynchrony, enabling strong performance gains and beating bulk-synchronous methods and prior state-of-the-art on both commodity hardware and HPC clusters. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Hyokun Yun
- 2. Hsiang-Fu Yu
- 3. Cho-Jui Hsieh
- 4. S V N Vishwanathan
- 5. Inderjit Dhillon
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,440 | FlexPS: Flexible Parallelism Control in Parameter Server Architecture | 2018 | VLDB | 8.8119143e-05 |
| 4,120 | Husky: Towards a More Efficient and Expressive Distributed Computing Framework | 2016 | VLDB | 6.4364588e-05 |
| 6,471 | Dynamic Parameter Allocation in Parameter Servers | 2020 | VLDB | 5.0511668e-05 |
| 7,951 | LFTF: A Framework for Efficient Tensor Analytics at Scale | 2017 | VLDB | 4.613363e-05 |
| 8,025 | Just Move It! Dynamic Parameter Allocation in Action | 2021 | VLDB | 4.6031105e-05 |
| 11,782 | The Best of Both Worlds: Big Data Programming with Both Productivity and Performance | 2017 | SIGMOD | 4.1945683e-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 |
|---|---|---|---|---|
| 37 | Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud | 2012 | VLDB | 0.0007522744 |
| 328 | An Architecture for Parallel Topic Models | 2010 | VLDB | 0.0002728514 |
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