hclhkbu / GaussianK-SGDLinks
Understanding Top-k Sparsification in Distributed Deep Learning
☆24Updated 5 years ago
Alternatives and similar repositories for GaussianK-SGD
Users that are interested in GaussianK-SGD are comparing it to the libraries listed below
Sorting:
- vector quantization for stochastic gradient descent.☆35Updated 5 years ago
- ☆33Updated 5 years ago
- ☆95Updated 3 years ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆77Updated 3 years ago
- Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"☆31Updated 4 years ago
- [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training☆222Updated 11 months ago
- ☆30Updated 4 years ago
- Federated Dynamic Sparse Training☆30Updated 3 years ago
- Implementation of Compressed SGD with Compressed Gradients in Pytorch☆13Updated 11 months ago
- It is implementation of Research paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING". Deep g…☆18Updated 5 years ago
- ☆22Updated 4 years ago
- SCAFFOLD and FedAvg implementation☆59Updated 3 years ago
- Atomo: Communication-efficient Learning via Atomic Sparsification☆27Updated 6 years ago
- gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning☆36Updated 5 years ago
- CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.☆29Updated 5 years ago
- ☆45Updated 3 years ago
- Oort: Efficient Federated Learning via Guided Participant Selection☆126Updated 3 years ago
- ☆10Updated 4 years ago
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆167Updated 2 years ago
- Layer-wise Sparsification of Distributed Deep Learning☆10Updated 4 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 4 years ago
- Communication-efficient decentralized SGD (Pytorch)☆25Updated 5 years ago
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆70Updated 4 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆84Updated 5 years ago
- SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847☆30Updated 11 months ago
- Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599☆58Updated 6 years ago
- GRACE - GRAdient ComprEssion for distributed deep learning☆140Updated 11 months ago
- Algorithm: Decentralized Parallel Stochastic Gradient Descent☆44Updated 6 years ago
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆41Updated 2 years ago
- Code for the signSGD paper☆88Updated 4 years ago