FedCollab
Collaboration optimizer
An algorithm that optimizes collaboration in federated learning by clustering clients into non-overlapping coalitions based on data quantity and pairwise distribution distances.
[ICML 2023] Optimizing the Collaboration Structure in Cross-Silo Federated Learning. Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He.
16 stars
3 watching
2 forks
Language: Python
last commit: about 3 years agoclustered-federated-learningfederated-learningpersonalized-federated-learning
Related projects:
| Repository | Description | Stars |
|---|---|---|
 litian96/fedprox | An optimization framework designed to address heterogeneity in federated learning across distributed networks | 655 |
 mingruiliu-ml-lab/episode | An algorithm for Federated Learning with heterogeneous data, designed to optimize deep neural networks and improve performance | 2 |
 optimization-ai/icml2023_fedxl | An implementation of a federated learning algorithm for optimization problems with compositional pairwise risk optimization. | 2 |
 zackzikaixiao/fedgrab | A tool for training federated learning models with adaptive gradient balancing to handle class imbalance in multi-client scenarios. | 14 |
 cuis15/learning-to-collaborate | A research project focused on developing methods for learning to collaborate in multi-objective optimization problems using machine learning and deep learning techniques. | 11 |
 divyansh03/fedexp | An implementation of a federated averaging algorithm with an extrapolation approach to speed up distributed machine learning training on client-held data. | 9 |
 illidanlab/splitmix | An algorithm for distributed learning with flexible model customization during training and testing | 40 |
 dos-group/fedzero | An implementation of federated learning optimized for training on renewable energy sources and spare compute capacity to minimize carbon emissions. | 19 |
 hui-po-wang/progfed | An approach to efficient federated learning by progressively training models on client devices with reduced communication and computation requirements. | 20 |
 sungwon-han/fedx | An unsupervised federated learning algorithm that uses cross knowledge distillation to learn meaningful data representations from local and global levels. | 69 |
 zhenqincn/fedapen | An implementation of cross-silo federated learning with adaptability to statistical heterogeneity | 12 |
 clreda/near-optimal-federated | An open-source software project implementing collaborative learning in bandits to achieve near-optimal results | 1 |
 xidongwu/federated-minimax-and-conditional-stochastic-optimization | This project presents optimization techniques for federated learning and minimax games in the context of machine learning | 1 |
 mc-nya/fednest | An implementation of a federated optimization algorithm for distributed machine learning | 6 |
 hongliny/fco-icml21 | This code repository provides an implementation of Federated Composite Optimization for decentralized machine learning | 12 |