pFedGP
Federated Learning Library
An implementation of Personalized Federated Learning with Gaussian Processes using Python.
Code for Personalized Federated Learning with Gaussian Processes
32 stars
1 watching
9 forks
Language: Python
last commit: over 4 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
 charliedinh/pfedme | An implementation of Personalized Federated Learning with Moreau Envelopes and related algorithms using PyTorch for research and experimentation. | 291 |
 yuetan031/fedproto | An implementation of federated learning with prototype-based methods across heterogeneous clients | 134 |
 mediabrain-sjtu/pfedgraph | This project enables personalized federated learning with inferred collaboration graphs to improve the performance of machine learning models on non-IID (non-independent and identically distributed) datasets. | 26 |
 hypervoyager/pfl | An implementation of heterogeneous federated learning with parallel edge and server computation | 17 |
 dawenzi098/sfl-structural-federated-learning | A Python implementation of Personalized Federated Learning with Graph using PyTorch. | 49 |
 atuannguyen/fedsr | An implementation of a domain generalization method for federated learning using Python and PyTorch | 26 |
 yamingguo98/fediir | An implementation of a federated learning algorithm that generalizes to out-of-distribution scenarios using implicit invariant relationships | 10 |
 codepothunter/fednp | A framework for non-IID federated learning via neural propagation | 6 |
 litian96/ditto | A framework for personalized federated learning to balance fairness and robustness in decentralized machine learning systems. | 138 |
 xiyuanyang45/dynamicpfl | A method for personalizing machine learning models in federated learning settings with adaptive differential privacy to improve performance and robustness | 57 |
 allenbeau/pfedbayes | An implementation of personalized federated learning using variational Bayesian inference on the MNIST dataset | 52 |
 haozzh/fedcr | Evaluates various methods for federated learning on different models and tasks. | 19 |
 alibaba/federatedscope | A comprehensive platform for federated learning, providing an event-driven architecture and flexible customization for various tasks in academia and industry. | 1,335 |
 ignavierng/notears-admm | An implementation of Bayesian network structure learning with continuous optimization for federated learning. | 10 |
| mediabrain-sjtu/fedgela | This project enables federated learning across partially class-disjoint data with curated bilateral curation. | 11 |