federated-submodel-averaging
Federated learning system
An implementation of federated submodel averaging (FedSubAvg) to enable collaborative learning across decentralized devices or users.
7 stars
1 watching
1 forks
Language: Python
last commit: over 1 year 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 |
 dawenzi098/sfl-structural-federated-learning | A Python implementation of Personalized Federated Learning with Graph using PyTorch. | 50 |
| mediabrain-sjtu/feddisco | A federated learning framework with discrepancy-aware collaboration for decentralized data training | 65 |
 shams-sam/fedoptim | An open-source project exploring Federated Learning model updates and their rank structure using data from various datasets. | 13 |
 wyjeong/fedmatch | A project implementing Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning | 79 |
 yamingguo98/fediir | An implementation of a federated learning algorithm that generalizes to out-of-distribution scenarios using implicit invariant relationships | 9 |
 xtra-computing/fedov | Develops a framework to address label skews in one-shot federated learning by partitioning data and adapting models. | 14 |
 yuetan031/fedproto | An implementation of federated learning with prototype-based methods across heterogeneous clients | 133 |
 jhoon-oh/fedbabu | An implementation of federated learning for image classification tasks | 51 |
 lyn1874/fedpvr | An implementation of a federated learning algorithm for handling heterogeneous data | 6 |
 sungwon-han/fedx | An unsupervised federated learning algorithm that uses cross knowledge distillation to learn meaningful data representations from local and global levels. | 68 |
 atuannguyen/fedsr | An implementation of a domain generalization method for federated learning using Python and PyTorch | 26 |
 alshedivat/fedpa | A modular JAX implementation of federated learning via posterior averaging for decentralized optimization | 49 |
 idanachituve/pfedgp | An implementation of Personalized Federated Learning with Gaussian Processes using Python. | 32 |