Stochastic Gradient Push for Distributed Deep Learning
☆172Apr 5, 2023Updated 3 years ago
Alternatives and similar repositories for stochastic_gradient_push
Users that are interested in stochastic_gradient_push are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆74Sep 10, 2020Updated 6 years ago
- gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning☆37Aug 19, 2019Updated 7 years ago
- Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599☆58Oct 25, 2018Updated 8 years ago
- QSGD-TF☆21May 15, 2019Updated 7 years ago
- Atomo: Communication-efficient Learning via Atomic Sparsification☆29Dec 9, 2018Updated 7 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.
- Layer-wise Sparsification of Distributed Deep Learning☆10Jul 6, 2020Updated 6 years ago
- Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727☆152Oct 29, 2024Updated 2 years ago
- Communication-efficient decentralized SGD (Pytorch)☆23Mar 17, 2020Updated 6 years ago
- SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847☆30Jul 25, 2024Updated 2 years ago
- Python module for simulating gossip learning.☆41Mar 24, 2026Updated 7 months ago
- Parallel SGD, done locally and remote☆14May 19, 2016Updated 10 years ago
- Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)☆182Nov 19, 2018Updated 7 years ago
- CoLa - Decentralized Linear Learning: https://arxiv.org/abs/1808.04883☆21Nov 30, 2021Updated 4 years ago
- ☆46Mar 4, 2020Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Implementation of Parameter Server using PyTorch communication lib☆41Apr 7, 2019Updated 7 years ago
- implement distributed machine learning with Pytorch + OpenMPI☆53Mar 22, 2019Updated 7 years ago
- Proximal Asynchronous SAGA☆13Nov 30, 2017Updated 8 years ago
- Website for TextVQA dataset.☆30Apr 30, 2023Updated 3 years ago
- Code for the signSGD paper☆96Jan 12, 2021Updated 5 years ago
- DRACO: Byzantine-resilient Distributed Training via Redundant Gradients☆23Dec 9, 2018Updated 7 years ago
- Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent☆46Aug 4, 2020Updated 6 years ago
- MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning☆12Apr 26, 2021Updated 5 years ago
- Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"☆33Nov 20, 2020Updated 5 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Code for "Practical Low-Rank Communication Compression in Decentralized Deep Learning"☆17Aug 4, 2020Updated 6 years ago
- GRACE - GRAdient ComprEssion for distributed deep learning☆141Jul 23, 2024Updated 2 years ago
- Fast and Adaptive Distributed Machine Learning for TensorFlow, PyTorch and MindSpore.☆297Feb 23, 2024Updated 2 years ago
- P2P Distributed deep learning framework that runs on PyTorch.☆25Apr 26, 2023Updated 3 years ago
- It is implementation of Research paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING". Deep g…☆18Aug 14, 2019Updated 7 years ago
- [ICML 2023] Decentralized SGD and Average-direction SAM are Asymptotically Equivalent☆20Dec 4, 2023Updated 2 years ago
- ZOSVRG-BlackBox-Adv☆13Oct 30, 2018Updated 8 years ago
- [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training☆228Jul 10, 2024Updated 2 years ago
- ☆21Nov 29, 2022Updated 3 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.
- MPI for Torch☆60May 22, 2017Updated 9 years ago
- "Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices", official implementation☆30Feb 4, 2025Updated last year
- Code for "On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length", ICLR 2019☆11Dec 8, 2022Updated 3 years ago
- A platform for distributed optimization expriments using OpenMPI☆21Oct 11, 2017Updated 9 years ago
- My defense presentation☆10Mar 7, 2022Updated 4 years ago
- The official implementation of the paper "Topology-aware Generalization of Decentralized SGD"☆36Mar 29, 2023Updated 3 years ago
- Code for the paper “RelaySum for Decentralized Deep Learning on Heterogeneous Data”☆10Apr 21, 2023Updated 3 years ago