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Toward Efficient Online Scheduling for Distributed Machine Learning Systems

  • Published:2021 Issue: Volume: Page:1-1
  • ISSN:2327-4697
  • Container-title:IEEE Transactions on Network Science and Engineering
  • language:
  • Short-container-title:IEEE Trans. Netw. Sci. Eng.

Author:

Yu Menglu,Liu Jia,Wu Chuan,Ji Bo,Bentley Elizabeth

Funder

Hong Kong RGC GRF Grants

Google Faculty Research Award

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Control and Systems Engineering

Cited by 5 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. Push-sum Distributed Dual Averaging Online Convex Optimization With Bandit Feedback;International Journal of Control, Automation and Systems;2024-05

2. An Efficient Matching Game Approach to Association Formation in UAV-Enabled Hierarchical Distributed Learning;IEEE Transactions on Cybernetics;2024

3. JointPS: Joint Parameter Server Placement and Flow Scheduling for Machine Learning Clusters;IEEE Transactions on Computers;2023-12

4. HeterPS: Distributed deep learning with reinforcement learning based scheduling in heterogeneous environments;Future Generation Computer Systems;2023-11

5. On scheduling ring-all-reduce learning jobs in multi-tenant GPU clusters with communication contention;Proceedings of the Twenty-Third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing;2022-10-03
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