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 |
|---|---|---|---|---|
| 2,446 | FlexPS: Flexible Parallelism Control in Parameter Server Architecture | 2018 | VLDB | 8.7988018e-05 |
| 4,121 | Husky: Towards a More Efficient and Expressive Distributed Computing Framework | 2016 | VLDB | 6.4302383e-05 |
| 6,482 | Dynamic Parameter Allocation in Parameter Servers | 2020 | VLDB | 5.0396586e-05 |
| 7,954 | LFTF: A Framework for Efficient Tensor Analytics at Scale | 2017 | VLDB | 4.6089395e-05 |
| 8,052 | Just Move It! Dynamic Parameter Allocation in Action | 2021 | VLDB | 4.5925868e-05 |
| 11,790 | The Best of Both Worlds: Big Data Programming with Both Productivity and Performance | 2017 | SIGMOD | 4.1905499e-05 |
Previous
Page 1 / 1
Next
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 |
|---|---|---|---|---|
| 39 | Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud | 2012 | VLDB | 0.00075263552 |
| 330 | An Architecture for Parallel Topic Models | 2010 | VLDB | 0.00027271063 |
Previous
Page 1 / 1
Next