vineeths96 / Gradient-CompressionLinks
We present a set of all-reduce compatible gradient compression algorithms which significantly reduce the communication overhead while maintaining the performance of vanilla SGD. We empirically evaluate the performance of the compression methods by training deep neural networks on the CIFAR10 dataset.
☆10Updated 3 years ago
Alternatives and similar repositories for Gradient-Compression
Users that are interested in Gradient-Compression are comparing it to the libraries listed below
Sorting:
- Ok-Topk is a scheme for distributed training with sparse gradients. Ok-Topk integrates a novel sparse allreduce algorithm (less than 6k c…☆27Updated 2 years ago
- [ICDCS 2023] Evaluation and Optimization of Gradient Compression for Distributed Deep Learning☆10Updated 2 years ago
- [ICDCS 2023] DeAR: Accelerating Distributed Deep Learning with Fine-Grained All-Reduce Pipelining☆11Updated last year
- ☆10Updated 4 years ago
- [ACM SoCC'22] Pisces: Efficient Federated Learning via Guided Asynchronous Training☆13Updated 6 months ago
- A Sparse-tensor Communication Framework for Distributed Deep Learning☆13Updated 4 years ago
- This repository is the official implementation of 'EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Lea…☆14Updated 3 years ago
- Hi-Speed DNN Training with Espresso: Unleashing the Full Potential of Gradient Compression with Near-Optimal Usage Strategies (EuroSys '2…☆15Updated 2 years ago
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆35Updated 2 years ago
- ☆21Updated 3 years ago
- Layer-wise Sparsification of Distributed Deep Learning☆10Updated 5 years ago
- AN EFFICIENT AND GENERAL FRAMEWORK FOR LAYERWISE-ADAPTIVE GRADIENT COMPRESSION☆14Updated 2 years ago
- Understanding Top-k Sparsification in Distributed Deep Learning☆24Updated 5 years ago
- Implementation of algorithms for memory optimized deep neural network training☆10Updated 5 years ago
- A computation-parallel deep learning architecture.☆13Updated 6 years ago
- Create tiny ML systems for on-device learning.☆20Updated 4 years ago
- MobiSys#114☆22Updated 2 years ago
- ☆15Updated 4 years ago
- Paper list of federated learning: About system design☆13Updated 3 years ago
- Official resporitory for "IPDPS' 24 QSync: Quantization-Minimized Synchronous Distributed Training Across Hybrid Devices".☆20Updated last year
- Dual-way gradient sparsification approach for async DNN training, based on PyTorch.☆11Updated 2 years ago
- ☆25Updated 2 years ago
- Code for reproducing experiments performed for Accoridon☆13Updated 4 years ago
- Source code for Jellyfish, a soft real-time inference serving system☆14Updated 2 years ago
- [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training☆225Updated last year
- This is a list of awesome edgeAI inference related papers.☆98Updated last year
- ☆14Updated 3 years ago
- ☆41Updated 5 years ago
- THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression☆20Updated last year
- PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021☆56Updated 4 years ago