FlexPS: Flexible Parallelism Control in Parameter Server Architecture
Summary: FlexPS introduces a multi-stage parameter-server abstraction for runtime-adjustable parallelism across ML stages. Stage scheduler, stage-aware consistency, and direct model transfer enable efficient, dynamic workloads in a general PS system. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yuzhen Huang
- 2. Tatiana Jin
- 3. Yidi Wu
- 4. Zhenkun Cai
- 5. Xiao Yan
- 6. Fan Yang
- 7. Jinfeng Li
- 8. Yuying Guo
- 9. James Cheng
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 683 | Cerebro: A Data System for Optimized Deep Learning Model Selection | 2020 | VLDB | 0.00018195476 |
| 2,791 | Towards Demystifying Serverless Machine Learning Training | 2021 | SIGMOD | 8.1206618e-05 |
| 3,363 | CROSSBOW: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers | 2019 | VLDB | 7.1731921e-05 |
| 4,557 | Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches | 2021 | VLDB | 6.087611e-05 |
| 5,720 | BAGUA: Scaling up Distributed Learning with System Relaxations | 2022 | VLDB | 5.3527734e-05 |
| 5,988 | NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter Access | 2022 | SIGMOD | 5.2430981e-05 |
| 6,471 | Dynamic Parameter Allocation in Parameter Servers | 2020 | VLDB | 5.0511668e-05 |
| 8,025 | Just Move It! Dynamic Parameter Allocation in Action | 2021 | VLDB | 4.6031105e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 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 |
| 1,942 | Heterogeneity-aware Distributed Parameter Servers | 2017 | SIGMOD | 0.00010012691 |
| 2,033 | NOMAD: Non-locking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion | 2014 | VLDB | 9.7172731e-05 |
| 4,120 | Husky: Towards a More Efficient and Expressive Distributed Computing Framework | 2016 | VLDB | 6.4364588e-05 |
| 4,395 | Scalable Asynchronous Gradient Descent Optimization for Out-of-Core Models | 2017 | VLDB | 6.2244283e-05 |
| 7,951 | LFTF: A Framework for Efficient Tensor Analytics at Scale | 2017 | VLDB | 4.613363e-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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