FedDG-GA

Domain generalization method

This project presents a method for federated domain generalization with adjustment, allowing multiple models to learn from each other across different domains.

[CVPR 2023] Federated Domain Generalization with Generalization Adjustment

GitHub

43 stars
1 watching
10 forks
Language: Python
last commit: over 1 year ago

Related projects:

Repository Description Stars
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
mediabrain-sjtu/fedgela Federated learning algorithm designed to handle partially class-disjoint data by utilizing bilateral curation and Dirichlet partitioning. 10
mediabrain-sjtu/feddisco A federated learning framework with discrepancy-aware collaboration for decentralized data training 65
sjtu-yc/federated-submodel-averaging An implementation of federated submodel averaging (FedSubAvg) to enable collaborative learning across decentralized devices or users. 7
tsingz0/dbe This implementation of a federated learning method aims to reduce domain bias in representation space, enabling more efficient knowledge transfer between clients and servers. 22
wenkehuang/rethinkfl Improves federated learning performance by incorporating domain knowledge and regularization to adapt models across diverse domains 91
gaoliang13/feddc Federated learning algorithm that adapts to non-IID data by decoupling and correcting for local drift 79
ignavierng/notears-admm An implementation of Bayesian network structure learning with continuous optimization for federated learning. 10
yamingguo98/fediir An implementation of a federated learning algorithm that generalizes to out-of-distribution scenarios using implicit invariant relationships 9
liuquande/feddg-elcfs A framework for federated learning on medical image segmentation using continuous frequency space interpolation. 240
idanachituve/pfedgp An implementation of Personalized Federated Learning with Gaussian Processes using Python. 32
google-research/federated A collection of research projects exploring decentralized machine learning and analytics techniques 690
atuannguyen/fedsr An implementation of a domain generalization method for federated learning using Python and PyTorch 26
gdisag/gradient_disaggregation An algorithm that breaks secure aggregation protocols in federated learning by recovering individual model updates from aggregated sums 14
zackzikaixiao/fedgrab A tool for training federated learning models with adaptive gradient balancing to handle class imbalance in multi-client scenarios. 13