The Library
Developing a loss prediction-based asynchronous stochastic gradient descent algorithm for distributed training of deep neural networks
Tools
Tools
Tools
Li, Junyu, He, Ligang, Ren, Shenyuan and Mao, Rui (2020) Developing a loss prediction-based asynchronous stochastic gradient descent algorithm for distributed training of deep neural networks. In: 49th International Conference on Parallel Processing (ICPP2020), Virtual conference, 17-20 Aug 2020. Published in: Proceedings of 49th International Conference on Parallel Processing (ICPP2020) (In Press)
|
PDF
WRAP-Developing-loss-prediction-based-asynchronous-stochastic-Li-2020.pdf - Accepted Version - Requires a PDF viewer. Download (1257Kb) | Preview |
| Item Type: | Conference Item (Paper) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | |||||||||
| Divisions: | Faculty of Science > Computer Science | |||||||||
| Library of Congress Subject Headings (LCSH): | Neural networks (Computer science), Machine learning, Computer-assisted instruction | |||||||||
| Journal or Publication Title: | Proceedings of 49th International Conference on Parallel Processing (ICPP2020) | |||||||||
| Publisher: | ACM | |||||||||
| Official Date: | 2020 | |||||||||
| Dates: |
|
|||||||||
| Date of first compliant deposit: | 7 August 2020 | |||||||||
| Status: | Peer Reviewed | |||||||||
| Publication Status: | In Press | |||||||||
| Publisher Statement: | "© ACM, 2020. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in PUBLICATION, {VOL#, ISS#, (DATE)} http://doi.acm.org/10.1145/nnnnnn.nnnnnn" | |||||||||
| RIOXX Funder/Project Grant: |
|
|||||||||
| Conference Paper Type: | Paper | |||||||||
| Title of Event: | 49th International Conference on Parallel Processing (ICPP2020) | |||||||||
| Type of Event: | Conference | |||||||||
| Location of Event: | Virtual conference | |||||||||
| Date(s) of Event: | 17-20 Aug 2020 | |||||||||
| Related URLs: |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
