PerFedMask
Personalized FL library
An implementation of personalized federated learning with optimized masking vectors using PyTorch
15 stars
1 watching
3 forks
Language: Python
last commit: over 1 year ago Related projects:
Repository | Description | Stars |
---|---|---|
omarfoq/fedem | Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions. | 154 |
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 |
allenbeau/pfedbayes | An implementation of personalized federated learning using variational Bayesian inference on the MNIST dataset | 49 |
mmorafah/pacfl | Implementation of federated learning algorithms for distributed machine learning on private client data | 37 |
hui-po-wang/progfed | An approach to efficient federated learning by progressively training models on client devices with reduced communication and computation requirements. | 20 |
jinheonbaek/fed-pub | Personalized Subgraph Federated Learning framework for distributed machine learning | 44 |
desternylin/perfed | An implementation of various federated learning algorithms with a focus on communication efficiency, robustness, and fairness. | 15 |
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 |
royson/fedl2p | This project enables personalized learning models by collaborating on learning the best strategy for each client | 19 |
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 |
mc-nya/fednest | An implementation of a federated optimization algorithm for distributed machine learning | 6 |
harliwu/fedamd | This project presents an approach to federated learning with partial client participation by optimizing anchor selection for improving model accuracy and convergence. | 2 |
yuetan031/fedproto | An implementation of federated learning with prototype-based methods across heterogeneous clients | 133 |
idanachituve/pfedgp | An implementation of Personalized Federated Learning with Gaussian Processes using Python. | 32 |