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
Start / End Page
1072 / 1077
Publisher
IEEE
Conference Name
2019 IEEE International Conference on Data Mining (ICDM)
Citation
APA
Chicago
ICMJE
MLA
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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) (pp. 1072–1077). 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), 1072–77. 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. p. 1072–7.
Guo, Pengzhan, et al. “A Weighted Aggregating SGD for Scalable Parallelization in Deep Learning.” 2019 IEEE International Conference on Data Mining (ICDM), IEEE, 2019, pp. 1072–77. 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. p. 1072–1077.
Published In
2019 IEEE International Conference on Data Mining (ICDM)
DOI
Publication Date
November 2019
Start / End Page
1072 / 1077
Publisher
IEEE
Conference Name
2019 IEEE International Conference on Data Mining (ICDM)