SuPerFed
Personalized FL method
An open-source implementation of a personalized federated learning method that connects the optima of local and federated models to improve performance.
(SIGKDD 2022) Connected Low-Loss Subspace Learning for a Personalization in Federated Learning (https://arxiv.org/abs/2109.07628)
28 stars
1 watching
4 forks
Language: Python
last commit: 4 months ago federated-learningpersonalized-federated-learningpytorch
Related projects:
| Repository | Description | Stars |
|---|---|---|
 yxdyc/pfedgate | An implementation of a personalized Federated Learning approach with adaptive sparse model adaptation. | 24 |
 charliedinh/pfedme | An implementation of Personalized Federated Learning with Moreau Envelopes and related algorithms using PyTorch for research and experimentation. | 289 |
 krishnap25/fl_partial_personalization | A framework for federated learning with partial model personalization | 2 |
 dawenzi098/sfl-structural-federated-learning | A Python implementation of Personalized Federated Learning with Graph using PyTorch. | 50 |
 xiyuanyang45/dynamicpfl | A method for personalizing machine learning models in federated learning settings with adaptive differential privacy to improve performance and robustness | 51 |
 astuary/flow | A framework for personalized federated learning that creates dynamic models for each input instance and improves generalizability of global models. | 8 |
 tsingz0/fedcp | A framework that separates feature information from data in federated learning to enable personalized models. | 26 |
 shenzebang/federated-learning-pytorch | A PyTorch-based framework for Federated Learning experiments | 40 |
 allenbeau/pfedbayes | An implementation of personalized federated learning using variational Bayesian inference on the MNIST dataset | 50 |
 omarfoq/knn-per | A federated learning framework with personalized memorization using deep neural networks and k-nearest neighbors for collaborative learning of statistical models | 42 |
 royson/fedl2p | This project enables personalized learning models by collaborating on learning the best strategy for each client | 19 |
 hui-po-wang/progfed | An approach to efficient federated learning by progressively training models on client devices with reduced communication and computation requirements. | 20 |
 idanachituve/pfedgp | An implementation of Personalized Federated Learning with Gaussian Processes using Python. | 32 |
 bdemo/pfedbred_public | A project that proposes a novel federated learning approach to address the issue of incomplete information in personalized machine learning models | 8 |
 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 |