gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning
☆37Aug 19, 2019Updated 7 years ago
Alternatives and similar repositories for gtopkssgd
Users that are interested in gtopkssgd are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- It is implementation of Research paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING". Deep g…☆18Aug 14, 2019Updated 7 years ago
- Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599☆58Oct 25, 2018Updated 7 years ago
- QSGD-TF☆21May 15, 2019Updated 7 years ago
- Layer-wise Sparsification of Distributed Deep Learning☆10Jul 6, 2020Updated 6 years ago
- ddl-benchmarks: Benchmarks for Distributed Deep Learning☆36May 29, 2020Updated 6 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆74Sep 10, 2020Updated 6 years ago
- Code for the signSGD paper☆95Jan 12, 2021Updated 5 years ago
- Byzantine-resilient distributed SGD with TensorFlow.☆40Jan 22, 2021Updated 5 years ago
- A computation-parallel deep learning architecture.☆13Sep 25, 2019Updated 6 years ago
- A compressed adaptive optimizer for training large-scale deep learning models using PyTorch☆25Nov 26, 2019Updated 6 years ago
- GRACE - GRAdient ComprEssion for distributed deep learning☆141Jul 23, 2024Updated 2 years ago
- Understanding Top-k Sparsification in Distributed Deep Learning☆24Nov 15, 2019Updated 6 years ago
- Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727☆151Oct 29, 2024Updated last year
- Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)☆182Nov 19, 2018Updated 7 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- vector quantization for stochastic gradient descent.☆37May 12, 2020Updated 6 years ago
- Ok-Topk is a scheme for distributed training with sparse gradients. Ok-Topk integrates a novel sparse allreduce algorithm (less than 6k c…☆27Dec 10, 2022Updated 3 years ago
- ☆77Jun 7, 2019Updated 7 years ago
- FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning☆18Jun 2, 2022Updated 4 years ago
- MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning☆12Apr 26, 2021Updated 5 years ago
- Code for "Adaptive Gradient Quantization for Data-Parallel SGD", published in NeurIPS 2020.☆30Jan 14, 2021Updated 5 years ago
- Code for paper: Variance Reduced Local SGD with Lower Communication Complexity☆12May 20, 2020Updated 6 years ago
- [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training☆227Jul 10, 2024Updated 2 years ago
- ☆22Jun 5, 2019Updated 7 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆92May 27, 2020Updated 6 years ago
- ☆42Feb 9, 2020Updated 6 years ago
- Communication-efficient decentralized SGD (Pytorch)☆23Mar 17, 2020Updated 6 years ago
- Bayesian Nonparametric Federated Learning of Neural Networks☆145May 29, 2019Updated 7 years ago
- divide-and-conquer eigenvalues algorithm for symmetric tridiagonal matrix, designed by Cuppen☆17Mar 1, 2020Updated 6 years ago
- 廖星宇深度学习入门之pytorch第一版书中代码实现☆11Jul 9, 2018Updated 8 years ago
- ☆20Jul 26, 2021Updated 5 years ago
- notes on reading tensorflow source code☆13Aug 18, 2018Updated 8 years ago
- Research simulation toolkit for federated learning☆13Nov 7, 2020Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A Sparse-tensor Communication Framework for Distributed Deep Learning☆13Nov 1, 2021Updated 4 years ago
- This repository contains the code of metric indexing for exact similarity search.☆12Jul 11, 2023Updated 3 years ago
- Fast CNN Stereo Depth Estimation through Embedded GPU Device☆18Nov 22, 2022Updated 3 years ago
- DropNet: Reducing Neural Network Complexity via Iterative Pruning (ICML 2020)☆16Aug 24, 2020Updated 6 years ago
- tensorflow extend framework☆13Feb 5, 2020Updated 6 years ago
- ☆29Oct 22, 2020Updated 5 years ago
- Code for the paper "CampER: An Effective Framework for Privacy-Aware Deep Entity Resolution". KDD 2023.☆10Feb 18, 2024Updated 2 years ago