FedGen
Decentralized ML library
An implementation of algorithms for decentralized machine learning in heterogeneous federated learning settings.
Code and data accompanying the FedGen paper
239 stars
2 watching
70 forks
Language: Python
last commit: 23 days ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 xjiajiahao/federated-minimax | A framework for developing and testing decentralized machine learning algorithms | 2 |
 daizhongxiang/federated-neural-bandits | An implementation of a decentralized algorithm for online decision-making in multiple agents | 3 |
 yutong-dai/fednh | An implementation of a federated learning framework for handling data heterogeneity in decentralized settings | 38 |
 zhuohangli/ggl | An attack implementation to test and evaluate the effectiveness of federated learning privacy defenses. | 57 |
 yuetan031/fedproto | An implementation of federated learning with prototype-based methods across heterogeneous clients | 133 |
 zhenqincn/fedapen | An implementation of cross-silo federated learning with adaptability to statistical heterogeneity | 10 |
 mingruiliu-ml-lab/episode | An algorithm for Federated Learning with heterogeneous data, designed to optimize deep neural networks and improve performance | 2 |
 xiyuanyang45/dynamicpfl | A method for personalizing machine learning models in federated learning settings with adaptive differential privacy to improve performance and robustness | 51 |
 haozzh/fedcr | Evaluates various methods for federated learning on different models and tasks. | 17 |
 anshuman73/deml-golem | A proof-of-concept implementation of decentralized machine learning on top of the Golem architecture | 43 |
 pengyang7881187/fedrl | Enabling multiple agents to learn from heterogeneous environments without sharing their knowledge or data | 54 |
 idanachituve/pfedgp | An implementation of Personalized Federated Learning with Gaussian Processes using Python. | 32 |
 sungwon-han/fedx | An unsupervised federated learning algorithm that uses cross knowledge distillation to learn meaningful data representations from local and global levels. | 68 |
 hongliny/fco-icml21 | This code repository provides an implementation of Federated Composite Optimization for decentralized machine learning | 11 |
 atuannguyen/fedsr | An implementation of a domain generalization method for federated learning using Python and PyTorch | 26 |