epfml / cola
CoLa - Decentralized Linear Learning: https://arxiv.org/abs/1808.04883
☆19Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for cola
- ☆74Updated 5 years ago
- Code for the signSGD paper☆81Updated 3 years ago
- Sketched SGD☆28Updated 4 years ago
- Atomo: Communication-efficient Learning via Atomic Sparsification☆25Updated 5 years ago
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆64Updated 4 years ago
- A compressed adaptive optimizer for training large-scale deep learning models using PyTorch☆27Updated 4 years ago
- Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599☆56Updated 6 years ago
- implement distributed machine learning with Pytorch + OpenMPI☆51Updated 5 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 6 years ago
- The source code to reproduce the results reported in the 'Federated Online Learning to Rank with Evolution Strategies' paper, published a…☆33Updated 3 years ago
- Algorithm: Decentralized Parallel Stochastic Gradient Descent☆41Updated 6 years ago
- Federated posterior averaging implemented in JAX☆49Updated last year
- Stochastic Gradient Push for Distributed Deep Learning☆158Updated last year
- ☆29Updated 4 years ago
- Simple Hierarchical Count Sketch in Python☆20Updated 3 years ago
- ☆43Updated 4 years ago
- Implementation of (overlap) local SGD in Pytorch☆32Updated 4 years ago
- ZOSVRG-BlackBox-Adv☆11Updated 6 years ago
- Tilted Empirical Risk Minimization (ICLR '21)☆59Updated last year
- Lua implementation of Entropy-SGD☆81Updated 6 years ago
- ☆27Updated last year
- Randomized Smoothing of All Shapes and Sizes (ICML 2020).☆51Updated 4 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated 3 months ago
- SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847☆29Updated 3 months ago
- Fair Empirical Risk Minimization (FERM)☆37Updated 4 years ago
- ☆26Updated 5 years ago
- A PyTorch implementation of the paper "Decoupled Parallel Backpropagation with Convergence Guarantee"☆30Updated 6 years ago
- The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size☆17Updated 5 years ago
- Federated Multi-Task Learning☆129Updated 6 years ago