Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"
☆33Nov 20, 2020Updated 5 years ago
Alternatives and similar repositories for deep-gradient-compression
Users that are interested in deep-gradient-compression 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 6 years ago
- [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training☆226Jul 10, 2024Updated 2 years ago
- GRACE - GRAdient ComprEssion for distributed deep learning☆141Jul 23, 2024Updated last year
- A computation-parallel deep learning architecture.☆13Sep 25, 2019Updated 6 years ago
- vector quantization for stochastic gradient descent.☆37May 12, 2020Updated 6 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.
- ☆97Oct 11, 2021Updated 4 years ago
- Speech recognition with federated learning☆11Jan 9, 2020Updated 6 years ago
- Improved DP-SGD for optimizing☆20Mar 23, 2019Updated 7 years ago
- Dual-way gradient sparsification approach for async DNN training, based on PyTorch.☆10Dec 8, 2022Updated 3 years ago
- Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727☆151Oct 29, 2024Updated last year
- Atomo: Communication-efficient Learning via Atomic Sparsification☆29Dec 9, 2018Updated 7 years ago
- The implementation of "Two-Stream Federated Learning: Reduce the Communication Costs" (VCIP 2018)☆16Aug 20, 2019Updated 6 years ago
- Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599☆58Oct 25, 2018Updated 7 years ago
- A curated list of resources dedicated to federated learning.☆103Mar 18, 2022Updated 4 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.
- Bayesian Nonparametric Federated Learning of Neural Networks☆145May 29, 2019Updated 7 years ago
- We present a set of all-reduce compatible gradient compression algorithms which significantly reduce the communication overhead while mai…☆10Nov 14, 2021Updated 4 years ago
- ddl-benchmarks: Benchmarks for Distributed Deep Learning☆36May 29, 2020Updated 6 years ago
- Final Project of Spring 2018 Artificial Intelligence at Tongji Univ.☆12Sep 23, 2018Updated 7 years ago
- Implementation of (overlap) local SGD in Pytorch☆34Jul 12, 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
- SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847☆32Jul 25, 2024Updated last year
- Here we try to detect the attack at it's first attempt using machine learning algorithms(Reinforcement l)☆11Apr 27, 2020Updated 6 years ago
- Federated Principal Component Analysis Revisited!☆44Nov 1, 2021Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆13Jul 23, 2023Updated 2 years ago
- Document of WeCross https://wecross.readthedocs.io/zh_CN/latest/☆11Apr 8, 2024Updated 2 years ago
- resnet_cifar10_cifar100_imagenet☆14Oct 30, 2018Updated 7 years ago
- Repository for Federated Learning with Differential Privacy☆11May 28, 2022Updated 4 years ago
- ☆26Apr 3, 2020Updated 6 years ago
- a high performance system for customized-precision distributed deep learning☆12Dec 10, 2020Updated 5 years ago
- Code for "Adaptive Gradient Quantization for Data-Parallel SGD", published in NeurIPS 2020.☆30Jan 14, 2021Updated 5 years ago
- Repository containing notebooks that implement different Federated Learning algorithms using PyTorch☆12May 17, 2021Updated 5 years ago
- Fair Resource Allocation in Federated Learning (ICLR '20)☆253Dec 2, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆19Oct 27, 2021Updated 4 years ago
- ☆15Nov 22, 2021Updated 4 years ago
- All exercises from private AI Facebook Scholarship☆13Jul 21, 2019Updated 7 years ago
- Federated Multi-Task Learning☆131Nov 11, 2018Updated 7 years ago
- A Benchmark of Real-world Image Dataset for Federated Learning☆42Oct 9, 2019Updated 6 years ago
- [ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training☆23Oct 17, 2022Updated 3 years ago
- COVID-19 Infodemic Twitter dataset☆13Sep 5, 2021Updated 4 years ago