epfml / error-feedback-SGD
SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847
☆30Updated 5 months ago
Alternatives and similar repositories for error-feedback-SGD:
Users that are interested in error-feedback-SGD are comparing it to the libraries listed below
- Code for the signSGD paper☆81Updated 4 years ago
- vector quantization for stochastic gradient descent.☆33Updated 4 years ago
- Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599☆56Updated 6 years ago
- Atomo: Communication-efficient Learning via Atomic Sparsification☆25Updated 6 years ago
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆65Updated 4 years ago
- FedNAS: Federated Deep Learning via Neural Architecture Search☆52Updated 3 years ago
- ☆45Updated 4 years ago
- Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"☆31Updated 4 years ago
- ☆74Updated 5 years ago
- ☆23Updated 3 years ago
- FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)☆24Updated last year
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆34Updated last year
- Simple Hierarchical Count Sketch in Python☆20Updated 3 years ago
- Implementation of (overlap) local SGD in Pytorch☆33Updated 4 years ago
- Implementation of Compressed SGD with Compressed Gradients in Pytorch☆12Updated 5 months ago
- Salvaging Federated Learning by Local Adaptation☆56Updated 5 months ago
- ☆27Updated 5 years ago
- Understanding Top-k Sparsification in Distributed Deep Learning☆23Updated 5 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 4 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆40Updated last year
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆73Updated 3 years ago
- Sketched SGD☆28Updated 4 years ago
- Code for "Adaptive Gradient Quantization for Data-Parallel SGD", published in NeurIPS 2020.☆29Updated 4 years ago
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆41Updated 2 years ago
- Algorithm: Decentralized Parallel Stochastic Gradient Descent☆41Updated 6 years ago
- Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth☆41Updated 8 months ago
- Bayesian Nonparametric Federated Learning of Neural Networks☆140Updated 5 years ago
- Code and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (ht…☆90Updated 2 years ago
- ☆12Updated 3 years ago