FCIL
CVPR 2022 Implementation
A PyTorch implementation of Federated Class-Incremental Learning for Continual Learning in Computer Vision
This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.
102 stars
5 watching
29 forks
Language: Python
last commit: over 1 year ago continual-learningcvpr2022federated-learningincremental-learning
Related projects:
| Repository | Description | Stars |
|---|---|---|
 dawenzi098/sfl-structural-federated-learning | A Python implementation of Personalized Federated Learning with Graph using PyTorch. | 49 |
 cuis15/fcfl | An implementation of Fair and Consistent Federated Learning using Python. | 20 |
 xiyuanyang45/dynamicpfl | A method for personalizing machine learning models in federated learning settings with adaptive differential privacy to improve performance and robustness | 57 |
 daiqing98/fedcil | An implementation of a Continual Federated Learning algorithm using Generative Replay to adapt models to new data distributions. | 27 |
 pengyang7881187/fedrl | Enabling multiple agents to learn from heterogeneous environments without sharing their knowledge or data | 56 |
 wenkehuang/fccl | A framework for tackling heterogeneity and catastrophic forgetting in federated learning by leveraging cross-correlation and similarity learning | 97 |
 charliedinh/pfedme | An implementation of Personalized Federated Learning with Moreau Envelopes and related algorithms using PyTorch for research and experimentation. | 291 |
 galaxylearning/gfl | A decentralized federated learning framework based on blockchain and PyTorch. | 243 |
 zhenqincn/fedapen | An implementation of cross-silo federated learning with adaptability to statistical heterogeneity | 12 |
 atuannguyen/fedsr | An implementation of a domain generalization method for federated learning using Python and PyTorch | 26 |
 hypervoyager/pfl | An implementation of heterogeneous federated learning with parallel edge and server computation | 17 |
 jhoon-oh/fedbabu | An implementation of federated learning algorithm for image classification | 50 |
 lyn1874/fedpvr | An implementation of a federated learning algorithm for handling heterogeneous data | 6 |
 raymin0223/logo | An implementation of federated active learning with a novel sampling strategy to improve performance on decentralized machine learning tasks | 31 |
 haozzh/fedcr | Evaluates various methods for federated learning on different models and tasks. | 19 |