MARINA: Faster non-convex distributed learning with compression
We develop and analyze MARINA: a new communication efficient method for non-convex distributed learning over heterogeneous datasets. MARINA employs a novel communication compression strategy based on the compression of gradient differences that is reminiscent of but different from the strategy emplo...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2021
|
| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/8682 https://ink.library.smu.edu.sg/context/sis_research/article/9685/viewcontent/ICML21_full_marina.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Singapore Management University |
| Language: | English |
Be the first to leave a comment!