P. Raynaud, Dominique Orban
and J. Bigeon
Technical Report (2023)
An external link is available for this item| Department: | Department of Mathematics and Industrial Engineering |
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| Research Center: | GERAD - Research Group in Decision Analysis |
| PolyPublie URL: | https://publications.polymtl.ca/56951/ |
| Report number: | G-2023-36 |
| Official URL: | https://www.gerad.ca/fr/papers/G-2023-36 |
| Date Deposited: | 20 Dec 2023 11:33 |
| Last Modified: | 25 Sep 2024 16:48 |
| Cite in APA 7: | Raynaud, P., Orban, D., & Bigeon, J. (2023). Partially-separable loss to parallellize partitioned neural network training. (Technical Report n° G-2023-36). https://www.gerad.ca/fr/papers/G-2023-36 |
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