yueqiw / OptML-SVRG-PyTorchLinks
Implementation of SVRG for training neural networks
☆22Updated 6 years ago
Alternatives and similar repositories for OptML-SVRG-PyTorch
Users that are interested in OptML-SVRG-PyTorch are comparing it to the libraries listed below
Sorting:
- Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)☆37Updated 6 years ago
- Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)☆44Updated 3 years ago
- pytorch-tiny-imagenet☆188Updated 2 weeks ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆47Updated 2 years ago
- Reproduce CKA: Similarity of Neural Network Representations Revisited☆311Updated 5 years ago
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆50Updated 4 years ago
- SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847☆32Updated last year
- Code for the signSGD paper☆92Updated 4 years ago
- Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth☆42Updated last year
- Federated Learning Based Dynamic Regularization☆18Updated 4 years ago
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆37Updated 2 years ago
- Pytorch implementation of Deep Variational Information Bottleneck☆207Updated 7 years ago
- Benchmarking Semi-supervised Federated Learning☆54Updated 3 years ago
- A pytorch implementation of MINE(Mutual Information Neural Estimation)☆350Updated 6 years ago
- Official [ICLR] Code Repository for "Gradient Projection Memory for Continual Learning"☆99Updated 4 years ago
- An implementation of EWC with PyTorch☆256Updated 6 years ago
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆74Updated 5 years ago
- Implementation of Compressed SGD with Compressed Gradients in Pytorch☆13Updated last year
- PyTorch implementation of ICML 2017 paper, SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Paral…☆17Updated 8 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆33Updated 4 years ago
- Bayesian Nonparametric Federated Learning of Neural Networks☆146Updated 6 years ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆40Updated 2 years ago
- Implementation of an efficient variant of SVRG that relies on mini-batching implemented in Pytorch☆27Updated 6 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated last year
- Federated Multi-Task Learning☆131Updated 7 years ago
- Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"☆60Updated 2 years ago
- source code of AISTATS 2020 paper: Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs☆12Updated 3 years ago
- This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer☆115Updated 4 years ago
- Federated posterior averaging implemented in JAX☆52Updated 2 years ago
- Mutual Information Neural Estimation in Pytorch☆347Updated last year