| OpenMined/PySyft |
9,118 |
|
3 |
2 |
about 2 years ago |
228 |
December 07, 2023 |
143 |
apache-2.0 |
Python |
| Perform data science on data that remains in someone else's server |
| adap/flower |
3,545 |
|
0 |
6 |
about 2 years ago |
28 |
November 28, 2023 |
374 |
apache-2.0 |
Python |
| Flower: A Friendly Federated Learning Framework |
| shaoxiongji/federated-learning |
1,042 |
|
0 |
0 |
over 2 years ago |
0 |
|
14 |
mit |
Python |
| A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561 |
| AshwinRJ/Federated-Learning-PyTorch |
902 |
|
0 |
0 |
about 3 years ago |
0 |
|
25 |
mit |
Python |
| Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data |
| ebagdasa/backdoors101 |
231 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
mit |
Python |
| Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors. |
| GalaxyLearning/GFL |
186 |
|
0 |
0 |
over 3 years ago |
5 |
February 04, 2023 |
2 |
apache-2.0 |
Python |
| Galaxy Federated Learning Framework （星际联邦学习框架） |
| CharlieDinh/pFedMe |
101 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
|
Python |
| Personalized Federated Learning (pFedMe) using Pytorch (NeurIPS 2020) |
| shashigharti/federated-learning-on-raspberry-pi |
39 |
|
0 |
0 |
about 6 years ago |
0 |
|
30 |
|
Jupyter Notebook |
| This project implements the OpenMined tutorials and simulates the distributed model training process using 2 RPIs(Raspberry Pi). |
| iQua/flsim |
37 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| A simulation framework for Federated Learning written in PyTorch |
| SarodYatawatta/federated-pytorch-test |
27 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth |
