epfml / colaLinks
CoLa - Decentralized Linear Learning: https://arxiv.org/abs/1808.04883
☆20Updated 4 years ago
Alternatives and similar repositories for cola
Users that are interested in cola are comparing it to the libraries listed below
Sorting:
- ☆77Updated 6 years ago
- Stochastic Gradient Push for Distributed Deep Learning☆170Updated 2 years ago
- Convolutional Neural Tangent Kernel☆112Updated 6 years ago
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆74Updated 5 years ago
- Federated posterior averaging implemented in JAX☆52Updated 2 years ago
- ☆32Updated 5 years ago
- Code for the signSGD paper☆92Updated 4 years ago
- Sketched SGD☆28Updated 5 years ago
- The source code to reproduce the results reported in the 'Federated Online Learning to Rank with Evolution Strategies' paper, published a…☆33Updated 4 years ago
- Simple Hierarchical Count Sketch in Python☆21Updated 4 years ago
- Implementation of SVRG and SAGA optimization algorithms for deep learning topics.☆74Updated 5 years ago
- Tilted Empirical Risk Minimization (ICLR '21)☆60Updated 2 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆106Updated 5 years ago
- A compressed adaptive optimizer for training large-scale deep learning models using PyTorch☆26Updated 6 years ago
- Lua implementation of Entropy-SGD☆81Updated 7 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆142Updated 6 years ago
- Code for fast dpsgd implementations in JAX/TF☆60Updated 3 years ago
- Algorithm: Decentralized Parallel Stochastic Gradient Descent☆47Updated 7 years ago
- ☆26Updated 6 years ago
- ☆83Updated 5 years ago
- Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599☆58Updated 7 years ago
- implement distributed machine learning with Pytorch + OpenMPI☆53Updated 6 years ago
- SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847☆32Updated last year
- This repository contains a simple implementation of Interval Bound Propagation (IBP) using TensorFlow: https://arxiv.org/abs/1810.12715☆161Updated 6 years ago
- NTK reading group☆87Updated 6 years ago
- ☆27Updated 3 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 7 years ago
- Randomized Smoothing of All Shapes and Sizes (ICML 2020).☆51Updated 5 years ago
- ☆50Updated 2 years ago
- A PyTorch implementation of the paper "Decoupled Parallel Backpropagation with Convergence Guarantee"☆29Updated 7 years ago