Understanding Top-k Sparsification in Distributed Deep Learning
☆24Nov 15, 2019Updated 6 years ago
Alternatives and similar repositories for GaussianK-SGD
Users that are interested in GaussianK-SGD are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- vector quantization for stochastic gradient descent.☆37May 12, 2020Updated 6 years ago
- Implementation of Compressed SGD with Compressed Gradients in Pytorch☆13Jul 25, 2024Updated last year
- Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599☆58Oct 25, 2018Updated 7 years ago
- GRACE - GRAdient ComprEssion for distributed deep learning☆141Jul 23, 2024Updated last year
- 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
- 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.
- SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847☆32Jul 25, 2024Updated last year
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆83Jul 12, 2022Updated 3 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
- AN EFFICIENT AND GENERAL FRAMEWORK FOR LAYERWISE-ADAPTIVE GRADIENT COMPRESSION☆16Oct 27, 2023Updated 2 years ago
- Layer-wise Sparsification of Distributed Deep Learning☆10Jul 6, 2020Updated 6 years ago
- ☆33Dec 3, 2019Updated 6 years ago
- gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning☆37Aug 19, 2019Updated 6 years ago
- Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727☆151Oct 29, 2024Updated last year
- Code for paper: Variance Reduced Local SGD with Lower Communication Complexity☆12May 20, 2020Updated 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.
- Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)☆182Nov 19, 2018Updated 7 years ago
- ☆46Mar 4, 2020Updated 6 years ago
- ☆12Oct 28, 2023Updated 2 years ago
- Implementation of (overlap) local SGD in Pytorch☆34Jul 12, 2020Updated 5 years ago
- Code for the signSGD paper☆94Jan 12, 2021Updated 5 years ago
- ☆12Dec 26, 2024Updated last year
- [CCS'24] Official Implementation of "Fisher Information guided Purification against Backdoor Attacks"☆15Oct 29, 2025Updated 8 months ago
- Communication-Efficient Feature-based Federated Transfer Learning☆14Jun 20, 2024Updated 2 years ago
- Simulation codes for over-the-air federated learning via second-order optimization☆14Jan 27, 2022Updated 4 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.
- demo☆21Jun 29, 2021Updated 5 years ago
- [EAAI 2024] A federated distillation domain generalization framework for machinery fault diagnosis with data privacy☆14Apr 3, 2024Updated 2 years ago
- Compression-based decentralized stochastic gradient descent (DSGD) algorithms tailored for digital and analog wireless implementations☆13Jun 26, 2022Updated 4 years ago
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆13Jun 21, 2021Updated 5 years ago
- FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis, Accept…☆21Feb 19, 2025Updated last year
- Code for "Adaptive Gradient Quantization for Data-Parallel SGD", published in NeurIPS 2020.☆30Jan 14, 2021Updated 5 years ago
- SJTU HPC 开源项目：Spackenv (Spack ENVironment) switch environments between sysadmin, users and developers.☆22Jan 4, 2022Updated 4 years ago
- Code for EMNLP'24 paper - On Diversified Preferences of Large Language Model Alignment☆16Aug 6, 2024Updated last year
- A Sparse-tensor Communication Framework for Distributed Deep Learning☆13Nov 1, 2021Updated 4 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.
- This is a implemention of paper:Federated Temporal-Context Contrastive Learning for Fault Diagnosis using Multiple Datasets with Insuffic…☆16Mar 25, 2024Updated 2 years ago
- Official repository for Towards Multi-modal Transformers in Federated Learning (ECCV2024)☆21Feb 4, 2025Updated last year
- Artifacts of VLDB'22 paper "COMET: A Novel Memory-Efficient Deep Learning TrainingFramework by Using Error-Bounded Lossy Compression"☆10Aug 2, 2022Updated 3 years ago
- PyTorch implementation of a 9-layer ResNet for CIFAR-10.☆11May 8, 2024Updated 2 years ago
- Q-RR, DIANA-RR, Q-NASTYA, NASTYA-DIANA, QSGD, DIANA, FedCOM and FedPAQ on logistic loss with L2 regularization☆11Nov 1, 2022Updated 3 years ago
- MISSION: Ultra Large-Scale Feature Selection using Count-Sketches☆13Oct 6, 2019Updated 6 years ago
- 这是一个使用vue配合element-ui开发的一个电商后台管理系统项目，项目都都是使用的前端最新技术☆13Jan 4, 2023Updated 3 years ago