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.

GitHub

16 stars
3 watching
2 forks
Language: Python
last commit: over 1 year ago
clustered-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