Distributed Methods
SlowMo
Introduced by Wang et al. in SlowMo: Improving Communication-Efficient Distributed SGD with Slow MomentumSlow Momentum (SlowMo) is a distributed optimization method where workers periodically synchronize and perform a momentum update, after multiple iterations of a base optimization algorithm. Periodically, after taking some number $\tau$ of base algorithm steps, workers average their parameters using ALLREDUCE and perform a momentum update.
Source: SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Blocking | 1 | 25.00% |
| Image Classification | 1 | 25.00% |
| Machine Translation | 1 | 25.00% |
| Translation | 1 | 25.00% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
