alshedivat / fedpa
Federated posterior averaging implemented in JAX
☆51Updated last year
Alternatives and similar repositories for fedpa:
Users that are interested in fedpa are comparing it to the libraries listed below
- Salvaging Federated Learning by Local Adaptation☆56Updated 6 months ago
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆34Updated last year
- FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)☆24Updated last year
- ☆12Updated 3 years ago
- ☆27Updated 2 years ago
- ☆22Updated 2 years ago
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆22Updated last year
- Federated Learning with Partial Model Personalization☆42Updated 2 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆40Updated last year
- Private Adaptive Optimization with Side Information (ICML '22)☆16Updated 2 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆35Updated 3 years ago
- ☆14Updated last year
- Tilted Empirical Risk Minimization (ICLR '21)☆59Updated last year
- ☆80Updated 2 years ago
- ☆10Updated 2 years ago
- Code for Personalized Federated Learning with Gaussian Processes☆32Updated 2 years ago
- Algorithms for Privacy-Preserving Machine Learning in JAX☆92Updated 7 months ago
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆66Updated 4 years ago
- Code for Auditing DPSGD☆37Updated 2 years ago
- ☆31Updated 4 months ago
- Code for "Federated Accelerated Stochastic Gradient Descent" (NeurIPS 2020)☆15Updated 3 years ago
- InstaHide: Instance-hiding Schemes for Private Distributed Learning☆50Updated 4 years ago
- Code for the signSGD paper☆82Updated 4 years ago
- ☆10Updated 6 months ago
- Certified Removal from Machine Learning Models☆63Updated 3 years ago
- ☆40Updated last year
- Repo to reproduce results for Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning☆25Updated last year
- ☆54Updated 3 years ago
- ☆18Updated 2 years ago
- vector quantization for stochastic gradient descent.☆33Updated 4 years ago