FedDC
Federated learner
Federated learning algorithm that adapts to non-IID data by decoupling and correcting for local drift
An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"
81 stars
2 watching
14 forks
Language: Python
last commit: almost 3 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 jiayunz/fedalign | Develops an alignment framework for federated learning with non-identical client class sets | 4 |
 lx10077/fedavgpy | The purpose of this project is to investigate the convergence of a federated learning algorithm on non-IID (non-identically and independently distributed) data. | 255 |
 yamingguo98/fediir | An implementation of a federated learning algorithm that generalizes to out-of-distribution scenarios using implicit invariant relationships | 10 |
 hongliny/fedac-neurips20 | Provides code for a federated learning algorithm to optimize machine learning models in a distributed setting. | 14 |
 harliwu/fedamd | This project presents an approach to federated learning with partial client participation by optimizing anchor selection for improving model accuracy and convergence. | 2 |
 lins-lab/fedbr | An implementation of federated learning algorithm to reduce local learning bias and improve convergence on heterogeneous data | 25 |
 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 |
 sungwon-han/fedx | An unsupervised federated learning algorithm that uses cross knowledge distillation to learn meaningful data representations from local and global levels. | 69 |
 unc-optimization/feddr | An implementation of algorithms for nonconvex federated learning optimization | 8 |
 ignavierng/notears-admm | An implementation of Bayesian network structure learning with continuous optimization for federated learning. | 10 |
 bytedance/feddecorr | Implementation of various federated learning algorithms to mitigate dimensional collapse in heterogeneous federated learning environments | 64 |
 jianyizhang123/flop | An experiment comparing different federated learning approaches for image classification tasks with non-iid datasets. | 8 |
 yutong-dai/fednh | An implementation of a federated learning framework for handling data heterogeneity in decentralized settings | 38 |
 lyn1874/fedpvr | An implementation of a federated learning algorithm for handling heterogeneous data | 6 |
 yuetan031/fedstar | This project implements a federated learning algorithm for non-IID graph classification tasks by leveraging structural knowledge sharing. | 60 |