Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599
☆58Oct 25, 2018Updated 7 years ago
Alternatives and similar repositories for sparsifiedSGD
Users that are interested in sparsifiedSGD are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847☆31Jul 25, 2024Updated 2 years ago
- QSGD-TF☆21May 15, 2019Updated 7 years ago
- Simple Hierarchical Count Sketch in Python☆21Jun 3, 2021Updated 5 years ago
- Atomo: Communication-efficient Learning via Atomic Sparsification☆29Dec 9, 2018Updated 7 years ago
- ☆32Dec 3, 2019Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆77Jun 7, 2019Updated 7 years ago
- Stochastic Gradient Push for Distributed Deep Learning☆172Apr 5, 2023Updated 3 years ago
- Implementation of Compressed SGD with Compressed Gradients in Pytorch☆13Jul 25, 2024Updated 2 years ago
- A compressed adaptive optimizer for training large-scale deep learning models using PyTorch☆25Nov 26, 2019Updated 6 years ago
- Code for paper: Variance Reduced Local SGD with Lower Communication Complexity☆12May 20, 2020Updated 6 years ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆79Aug 30, 2021Updated 4 years ago
- It is implementation of Research paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING". Deep g…☆18Aug 14, 2019Updated 6 years ago
- Implementation of (overlap) local SGD in Pytorch☆34Jul 12, 2020Updated 6 years ago
- [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training☆226Jul 10, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Sketched SGD☆29Jul 4, 2020Updated 6 years ago
- Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"☆33Nov 20, 2020Updated 5 years ago
- MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning☆12Apr 26, 2021Updated 5 years ago
- a high performance system for customized-precision distributed deep learning☆12Dec 10, 2020Updated 5 years ago
- DRACO: Byzantine-resilient Distributed Training via Redundant Gradients☆23Dec 9, 2018Updated 7 years ago
- Energy-based Dropout and Pruning of Deep Neural Networks☆10Oct 9, 2020Updated 5 years ago
- Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth☆42Apr 30, 2024Updated 2 years ago
- ☆12Mar 1, 2024Updated 2 years ago
- Code for the paper "Faster Neural Network Training with Approximate Tensor Operations"☆10Oct 23, 2021Updated 4 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.
- The implementation of "Two-Stream Federated Learning: Reduce the Communication Costs" (VCIP 2018)☆16Aug 20, 2019Updated 6 years ago
- The official implementation of paper "Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors…☆16Jun 14, 2024Updated 2 years ago
- Efficient reference implementations of the static & dynamic M-FAC algorithms (for pruning and optimization)☆17Feb 23, 2022Updated 4 years ago
- ☆10Jun 16, 2020Updated 6 years ago
- implement distributed machine learning with Pytorch + OpenMPI☆53Mar 22, 2019Updated 7 years ago
- An implementation of the Hogwild! algorithm for asynchronous SGD that interfaces with sci-kit learn.☆20Feb 20, 2020Updated 6 years ago
- Analyze network performance in distributed training☆20Oct 20, 2020Updated 5 years ago
- ☆20Feb 17, 2020Updated 6 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Aug 23, 2018Updated 7 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆12Dec 22, 2021Updated 4 years ago
- ☆37Jun 21, 2022Updated 4 years ago
- gossip: Efficient Communication Primitives for Multi-GPU Systems☆62Jul 1, 2022Updated 4 years ago
- This repository contains the files used for our Interspeech 2017 paper.☆16May 30, 2017Updated 9 years ago
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆36Aug 13, 2020Updated 6 years ago
- CVPR2023 - Rethinking Federated Learning with Domain Shift: A Prototype View☆117Dec 29, 2024Updated last year
- A Tool for Automatic Parallelization of Deep Learning Training in Distributed Multi-GPU Environments.☆130Feb 21, 2022Updated 4 years ago