jiaweizzhao / signSGD-with-Majority-Vote
☆74Updated 5 years ago
Alternatives and similar repositories for signSGD-with-Majority-Vote:
Users that are interested in signSGD-with-Majority-Vote are comparing it to the libraries listed below
- Code for the signSGD paper☆83Updated 4 years ago
- Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599☆59Updated 6 years ago
- implement distributed machine learning with Pytorch + OpenMPI☆51Updated 5 years ago
- Atomo: Communication-efficient Learning via Atomic Sparsification☆25Updated 6 years ago
- Sketched SGD☆28Updated 4 years ago
- Implementation of (overlap) local SGD in Pytorch☆33Updated 4 years ago
- ☆46Updated 5 years ago
- A compressed adaptive optimizer for training large-scale deep learning models using PyTorch☆27Updated 5 years ago
- SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847☆31Updated 7 months ago
- vector quantization for stochastic gradient descent.☆33Updated 4 years ago
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆101Updated 5 years ago
- CoLa - Decentralized Linear Learning: https://arxiv.org/abs/1808.04883☆20Updated 3 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 6 years ago
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆62Updated 5 years ago
- Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727☆146Updated 4 months ago
- Stochastic Gradient Push for Distributed Deep Learning☆160Updated last year
- ☆82Updated 5 years ago
- This repository is no longer maintained. Check☆81Updated 4 years ago
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆66Updated 4 years ago
- Reproduction and analysis of SNIP paper☆30Updated 5 years ago
- Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)☆48Updated 3 years ago
- ☆55Updated 6 years ago
- Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"☆31Updated 4 years ago
- A PyTorch implementation of the paper "Decoupled Parallel Backpropagation with Convergence Guarantee"☆29Updated 6 years ago
- QSGD-TF☆21Updated 5 years ago
- ☆26Updated 5 years ago
- ☆30Updated 4 years ago
- "Layer-wise Adaptive Rate Scaling" in PyTorch☆86Updated 4 years ago
- Pytorch implementation of TRP☆44Updated 4 years ago
- ☆70Updated 4 years ago