alshedivat / fedpaLinks
Federated posterior averaging implemented in JAX
☆51Updated 2 years ago
Alternatives and similar repositories for fedpa
Users that are interested in fedpa are comparing it to the libraries listed below
Sorting:
- Tilted Empirical Risk Minimization (ICLR '21)☆60Updated last year
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆37Updated 2 years ago
- Code for the signSGD paper☆91Updated 4 years ago
- ☆12Updated 4 years ago
- FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)☆26Updated 2 years ago
- Algorithms for Privacy-Preserving Machine Learning in JAX☆106Updated last week
- ☆27Updated 2 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated last year
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆72Updated 5 years ago
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆22Updated 2 years ago
- Repo to reproduce results for Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning☆25Updated 2 years ago
- ☆80Updated 3 years ago
- The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size☆17Updated 6 years ago
- Federated Learning with Partial Model Personalization☆43Updated 3 years ago
- ☆23Updated 2 years ago
- Bayesian Nonparametric Federated Learning of Neural Networks☆145Updated 6 years ago
- ☆18Updated 3 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 3 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆50Updated 4 years ago
- Code for "Federated Accelerated Stochastic Gradient Descent" (NeurIPS 2020)☆15Updated 4 years ago
- Certified Removal from Machine Learning Models☆69Updated 4 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆64Updated 4 years ago
- ☆10Updated 3 years ago
- ☆15Updated 2 years ago
- InstaHide: Instance-hiding Schemes for Private Distributed Learning☆50Updated 5 years ago
- Code for the paper "Adversarial Neural Pruning with Latent Vulnerability Suppression"☆15Updated 2 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆48Updated 2 years ago
- Implementation of Minimax Pareto Fairness framework☆21Updated 5 years ago
- Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)☆16Updated 6 years ago
- ☆11Updated last year