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A Weighted Aggregating SGD for Scalable Parallelization in Deep Learning

Publication ,  Conference
Guo, P; Ye, Z; Xiao, K
Published in: 2019 IEEE International Conference on Data Mining (ICDM)
November 2019

Duke Scholars

Published In

2019 IEEE International Conference on Data Mining (ICDM)

DOI

Publication Date

November 2019

Publisher

IEEE

Conference Name

2019 IEEE International Conference on Data Mining (ICDM)
 

Citation

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Guo, P., Ye, Z., & Xiao, K. (2019). A Weighted Aggregating SGD for Scalable Parallelization in Deep Learning. In 2019 IEEE International Conference on Data Mining (ICDM). IEEE. https://doi.org/10.1109/icdm.2019.00126
Guo, Pengzhan, Zeyang Ye, and Keli Xiao. “A Weighted Aggregating SGD for Scalable Parallelization in Deep Learning.” In 2019 IEEE International Conference on Data Mining (ICDM). IEEE, 2019. https://doi.org/10.1109/icdm.2019.00126.
Guo P, Ye Z, Xiao K. A Weighted Aggregating SGD for Scalable Parallelization in Deep Learning. In: 2019 IEEE International Conference on Data Mining (ICDM). IEEE; 2019.
Guo, Pengzhan, et al. “A Weighted Aggregating SGD for Scalable Parallelization in Deep Learning.” 2019 IEEE International Conference on Data Mining (ICDM), IEEE, 2019. Crossref, doi:10.1109/icdm.2019.00126.
Guo P, Ye Z, Xiao K. A Weighted Aggregating SGD for Scalable Parallelization in Deep Learning. 2019 IEEE International Conference on Data Mining (ICDM). IEEE; 2019.

Published In

2019 IEEE International Conference on Data Mining (ICDM)

DOI

Publication Date

November 2019

Publisher

IEEE

Conference Name

2019 IEEE International Conference on Data Mining (ICDM)