jxbz / signSGDLinks
Code for the signSGD paper
☆86Updated 4 years ago
Alternatives and similar repositories for signSGD
Users that are interested in signSGD are comparing it to the libraries listed below
Sorting:
- SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847☆30Updated 10 months ago
- ☆74Updated 6 years ago
- Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599☆58Updated 6 years ago
- vector quantization for stochastic gradient descent.☆35Updated 5 years ago
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆70Updated 4 years ago
- Atomo: Communication-efficient Learning via Atomic Sparsification☆27Updated 6 years ago
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆36Updated 2 years ago
- Sketched SGD☆28Updated 4 years ago
- ☆46Updated 5 years ago
- FedNAS: Federated Deep Learning via Neural Architecture Search☆54Updated 3 years ago
- Implementation of (overlap) local SGD in Pytorch☆33Updated 4 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated 10 months ago
- ☆27Updated 2 years ago
- Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"☆31Updated 4 years ago
- Federated posterior averaging implemented in JAX☆51Updated 2 years ago
- Simple Hierarchical Count Sketch in Python☆20Updated 4 years ago
- Federated Multi-Task Learning☆130Updated 6 years ago
- Bayesian Nonparametric Federated Learning of Neural Networks☆143Updated 6 years ago
- Implementation of Compressed SGD with Compressed Gradients in Pytorch☆13Updated 10 months ago
- Algorithm: Decentralized Parallel Stochastic Gradient Descent☆44Updated 6 years ago
- FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)☆26Updated 2 years ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆77Updated 3 years ago
- PyTorch implementation of ICML 2017 paper, SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Paral…☆17Updated 7 years ago
- Code for "Federated Accelerated Stochastic Gradient Descent" (NeurIPS 2020)☆15Updated 4 years ago
- A compressed adaptive optimizer for training large-scale deep learning models using PyTorch☆27Updated 5 years ago
- Tilted Empirical Risk Minimization (ICLR '21)☆59Updated last year
- Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth☆42Updated last year
- Code and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (ht…☆92Updated 2 years ago
- Stochastic Gradient Push for Distributed Deep Learning☆168Updated 2 years ago
- Understanding Top-k Sparsification in Distributed Deep Learning☆24Updated 5 years ago