FedFA
Federated feature augmentation library
An ICLR 2023 paper implementation in PyTorch of Federated Feature Augmentation for federated learning with data augmentation and medical image analysis.
ICLR 2023 - FedFA: Federated Feature Augmentation
57 stars
3 watching
5 forks
Language: Python
last commit: over 3 years agocifar10data-augmentationfederated-learningmedical-image-analysisprobabilisticprostate-mri-segmentation
Related projects:
| Repository | Description | Stars |
|---|---|---|
 chunmeifeng/fedpr | An algorithm for learning federated visual prompts in null space to improve MRI reconstruction performance on limited local data and reduced communication costs | 45 |
 guopengf/fl-mrcm | Improves deep learning-based magnetic resonance image reconstruction using federated learning and multi-institutional collaboration | 46 |
 jhoon-oh/fedbabu | An implementation of federated learning algorithm for image classification | 50 |
 mmorafah/pacfl | Implementation of federated learning algorithms for distributed machine learning on private client data | 37 |
 jackie840129/fedfr | An open-source software framework for jointly optimizing face recognition models in federated learning settings. | 14 |
 jinheonbaek/fed-pub | Personalized Subgraph Federated Learning framework for distributed machine learning | 45 |
 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 |
 hmgxr128/mifa_code | An implementation of Fast Federated Learning under device unavailability for minimizing latency and achieving optimal convergence rates | 9 |
 omarfoq/fedem | Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions. | 157 |
 tmlr-group/fedfed | An approach to mitigating data heterogeneity in federated learning by sharing partial features of the data. | 17 |
 hongliny/fco-icml21 | This code repository provides an implementation of Federated Composite Optimization for decentralized machine learning | 12 |
 aiot-mlsys-lab/fedrolex | An approach to heterogeneous federated learning allowing for model training on diverse devices with varying resources. | 61 |
 yuetan031/fedproto | An implementation of federated learning with prototype-based methods across heterogeneous clients | 134 |
 liuquande/feddg-elcfs | This project presents a framework for federated domain generalization in medical image segmentation using continuous frequency space and episodic learning. | 246 |
 pengyang7881187/fedrl | Enabling multiple agents to learn from heterogeneous environments without sharing their knowledge or data | 56 |