Acceleration for compressed gradient descent in distributed and federated optimization
Due to the high communication cost in distributed and federated learning problems, methods relying on compression of communicated messages are becoming increasingly popular. While in other contexts the best performing gradient-type methods invariably rely on some form of acceleration/momentum to red...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2020
|
| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/8681 https://ink.library.smu.edu.sg/context/sis_research/article/9684/viewcontent/ICML20_full_adiana.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Singapore Management University |
| Language: | English |