FedPR
by chunmeifeng
【CVPR 2023】Learning Federated Visual Prompt in Null Space for MRI Reconstruction
AI summary
Federated Prompt Algorithm
An algorithm for learning federated visual prompts in null space to improve MRI reconstruction performance on limited local data and reduced communication costs
- stars
- 45
- forks
- 4
- watching
- 2
Similar projects
Found by comparing what the projects do, not just their names.
Federated learning for MRI
Improves deep learning-based magnetic resonance image reconstruction using federated learning and multi-institutional collaboration
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.
Federated Learning
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.
Federated Learning Algorithm
An unsupervised federated learning algorithm that uses cross knowledge distillation to learn meaningful data representations from local and global levels.
Federated learning algorithm
An implementation of Bayesian network structure learning with continuous optimization for federated learning.
Federated Learning Algorithm
This project presents an approach to federated learning with partial client participation by optimizing anchor selection for improving model accuracy and convergence.
FL accelerator
An algorithm to improve convergence rates and protect privacy in Federated Learning by addressing the catastrophic forgetting issue during local training
Federated learning framework
Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions.
Federated Learning optimizer
An algorithm for Federated Learning with heterogeneous data, designed to optimize deep neural networks and improve performance
Federated Learning Framework
Develops a framework to balance competing goals in federated learning by decoupling generic and personalized prediction tasks.
DPFL Algorithm
This repository provides an implementation of a differentially private federated learning algorithm designed to improve the robustness and performance of federated machine learning systems.
Federated MAB algorithm
An implementation of Federated Multi-Armed Bandits with Personalization using Python and Jupyter Notebook.
FL algorithm
An algorithm for Federated Learning that handles client subsampling and data heterogeneity with unbounded smoothness
Federated learner
An implementation of a federated learning algorithm for handling heterogeneous data
Federated Learning Experiment
An experiment comparing different federated learning approaches for image classification tasks with non-iid datasets.