epfml / cola
CoLa - Decentralized Linear Learning: https://arxiv.org/abs/1808.04883
☆19Updated 2 years ago
Related projects: ⓘ
- ☆72Updated 5 years ago
- Sketched SGD☆28Updated 4 years ago
- Code for the signSGD paper☆79Updated 3 years ago
- A compressed adaptive optimizer for training large-scale deep learning models using PyTorch☆27Updated 4 years ago
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆63Updated 4 years ago
- Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599☆54Updated 5 years ago
- Simple Hierarchical Count Sketch in Python☆20Updated 3 years ago
- implement distributed machine learning with Pytorch + OpenMPI☆52Updated 5 years ago
- ☆8Updated 7 years ago
- Atomo: Communication-efficient Learning via Atomic Sparsification☆25Updated 5 years ago
- ☆29Updated 4 years ago
- Federated posterior averaging implemented in JAX☆49Updated last year
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 5 years ago
- ☆42Updated 4 years ago
- ☆22Updated this week
- Algorithm: Decentralized Parallel Stochastic Gradient Descent☆41Updated 6 years ago
- ☆26Updated last year
- PyTorch implementation of ICML 2017 paper, SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Paral…☆17Updated 6 years ago
- Implementation of SVRG and SAGA optimization algorithms for deep learning topics.☆68Updated 3 years ago
- Stochastic Gradient Push for Distributed Deep Learning☆156Updated last year
- ☆26Updated 5 years ago
- Tilted Empirical Risk Minimization (ICLR '21)☆58Updated 10 months ago
- SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847☆29Updated last month
- Randomized Smoothing of All Shapes and Sizes (ICML 2020).☆50Updated 4 years ago
- Benchmark for LP-relaxed robustness verification of ReLU-networks☆40Updated 5 years ago
- The source code to reproduce the results reported in the 'Federated Online Learning to Rank with Evolution Strategies' paper, published a…☆32Updated 3 years ago
- Code for "Federated Accelerated Stochastic Gradient Descent" (NeurIPS 2020)☆14Updated 3 years ago
- Code for Auditing DPSGD☆30Updated 2 years ago
- Salvaging Federated Learning by Local Adaptation☆55Updated last month
- Code for ICML 2017 paper, SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization☆55Updated 6 years ago