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A Free Stale Synchronous Parallel Strategy for Distributed Machine Learning

  • Published:2019-06-11 Issue: Volume: Page:
  • ISSN:
  • Container-title:Proceedings of the 2019 International Conference on Big Data Engineering
  • language:
  • Short-container-title:

Author:

Shi Hang1,Zhao Yue1,Zhang Bofeng1,Yoshigoe Kenji2,Vasilakos Athanasios V.3

Affiliation:

1. School of Computer Engineering and Science, Shanghai University, Shanghai, China

2. Networking for Innovation and Design (INIAD), Toyo University, Tokyo, Japan

3. Department of Computer Science, Electrical and Space Engineering, Lulea University of Technology, Skellefteå, Sweden

Publisher

ACM

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Distributed Analytics For Big Data: A Survey;Neurocomputing;2024-03

2. Modeling the Training Iteration Time for Heterogeneous Distributed Deep Learning Systems;International Journal of Intelligent Systems;2023-02-21

3. FSP: Towards Flexible Synchronous Parallel Frameworks for Distributed Machine Learning;IEEE Transactions on Parallel and Distributed Systems;2023-02-01

4. The 5G-IANA platform: Bringing far-edge resources and ML potential to the disposal of automotive third parties;2022 IEEE Future Networks World Forum (FNWF);2022-10

5. Spread: Decentralized Model Aggregation for Scalable Federated Learning;Proceedings of the 51st International Conference on Parallel Processing;2022-08-29
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