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Canary: Decentralized Distributed Deep Learning Via Gradient Sketch and Partition in Multi-Interface Networks

  • Published:2021-04-01 Issue:4 Volume:32 Page:900-917
  • ISSN:1045-9219
  • Container-title:IEEE Transactions on Parallel and Distributed Systems
  • language:
  • Short-container-title:IEEE Trans. Parallel Distrib. Syst.

Author:

Zhou QihuaORCID,Wang KunORCID,Lu HaodongORCID,Xu WenyaoORCID,Sun YanfeiORCID,Guo SongORCID

Funder

Hong Kong RGC Research Impact Fund

General Research Fund

Collaborative Research Fund

National Natural Science Foundation of China

Jiangsu Key Research and Development Program

Natural Science Foundation of Jiangsu Province

Natural Science Foundation for Distinguished Young Scholar of Jiangsu

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

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2. Modular Platforms based on Clouded Web Technology and Distributed Deep Learning Systems;Journal of Smart Internet of Things;2023-12-01

3. Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression;Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2;2023-01-27

4. CP-SGD: Distributed stochastic gradient descent with compression and periodic compensation;Journal of Parallel and Distributed Computing;2022-11

5. CD-SGD: Distributed Stochastic Gradient Descent with Compression and Delay Compensation;50th International Conference on Parallel Processing;2021-08-09
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