FedDisco
Federated learner
A federated learning framework with discrepancy-aware collaboration for decentralized data training
65 stars
0 watching
1 forks
Language: Python
last commit: 11 months ago Related projects:
| Repository | Description | Stars |
|---|---|---|
| mediabrain-sjtu/fedgela | Federated learning algorithm designed to handle partially class-disjoint data by utilizing bilateral curation and Dirichlet partitioning. | 10 |
| 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 |
 yuetan031/fedproto | An implementation of federated learning with prototype-based methods across heterogeneous clients | 133 |
 bibikar/feddst | An implementation of federated learning with sparse training and readjustment mechanisms to reduce communication overhead while maintaining model performance. | 29 |
 xtra-computing/fedov | Develops a framework to address label skews in one-shot federated learning by partitioning data and adapting models. | 14 |
 lxcnju/fedrepo | An open-source repository implementing various federated learning algorithms with source code for multiple deep learning applications. | 174 |
 yamingguo98/fediir | An implementation of a federated learning algorithm that generalizes to out-of-distribution scenarios using implicit invariant relationships | 9 |
 litian96/ditto | A framework for personalized federated learning to balance fairness and robustness in decentralized machine learning systems. | 137 |
 ibm/federated-learning-lib | A framework for collaborative distributed machine learning in enterprise environments. | 499 |
 sjtu-yc/federated-submodel-averaging | An implementation of federated submodel averaging (FedSubAvg) to enable collaborative learning across decentralized devices or users. | 7 |
 bytedance/feddecorr | Provides an implementation of various heterogeneous federated learning methods and datasets to mitigate dimensional collapse in distributed machine learning | 63 |
 zackzikaixiao/fedgrab | A tool for training federated learning models with adaptive gradient balancing to handle class imbalance in multi-client scenarios. | 13 |
 jiayunz/fedalign | Develops an alignment framework for federated learning with non-identical client class sets | 4 |
 hongliny/fedac-neurips20 | Provides code for a federated learning algorithm to optimize machine learning models in a distributed setting. | 14 |
 bdemo/pfedbred_public | A project that proposes a novel federated learning approach to address the issue of incomplete information in personalized machine learning models | 8 |