synxlin / deep-gradient-compressionLinks
[ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
☆226Updated last year
Alternatives and similar repositories for deep-gradient-compression
Users that are interested in deep-gradient-compression are comparing it to the libraries listed below
Sorting:
- GRACE - GRAdient ComprEssion for distributed deep learning☆139Updated last year
- Understanding Top-k Sparsification in Distributed Deep Learning☆24Updated 6 years ago
- Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"☆31Updated 5 years ago
- gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning☆37Updated 6 years ago
- ☆48Updated 3 years ago
- Oort: Efficient Federated Learning via Guided Participant Selection☆131Updated 4 years ago
- Atomo: Communication-efficient Learning via Atomic Sparsification☆28Updated 7 years ago
- vector quantization for stochastic gradient descent.☆35Updated 5 years ago
- It is implementation of Research paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING". Deep g…☆18Updated 6 years ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆78Updated 4 years ago
- FedNAS: Federated Deep Learning via Neural Architecture Search☆54Updated 4 years ago
- FedScale is a scalable and extensible open-source federated learning (FL) platform.☆409Updated 2 years ago
- ☆30Updated 5 years ago
- Plato: A Research Framework for Federated Learning☆393Updated this week
- Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599☆58Updated 7 years ago
- Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727☆149Updated last year
- ☆33Updated 6 years ago
- Federated Learning Systems Paper List☆75Updated 2 years ago
- Federated Dynamic Sparse Training☆32Updated 3 years ago
- Sketched SGD☆28Updated 5 years ago
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆342Updated 4 years ago
- Algorithm: Decentralized Parallel Stochastic Gradient Descent☆47Updated 7 years ago
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆75Updated 5 years ago
- Code for the signSGD paper☆93Updated 5 years ago
- Communication-efficient decentralized SGD (Pytorch)☆25Updated 5 years ago
- Stochastic Gradient Push for Distributed Deep Learning☆170Updated 2 years ago
- Code for "Adaptive Gradient Quantization for Data-Parallel SGD", published in NeurIPS 2020.☆30Updated 5 years ago
- Implementation of Parameter Server using PyTorch communication lib☆42Updated 6 years ago
- ☆46Updated 5 years ago
- Implementation of (overlap) local SGD in Pytorch☆34Updated 5 years ago