| weimingwill/awesome-federated-learning |
482 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
mit |
Shell |
| All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc. |
| litian96/FedProx |
465 |
|
0 |
0 |
about 3 years ago |
0 |
|
6 |
mit |
Python |
| Federated Optimization in Heterogeneous Networks (MLSys '20) |
| tushar-semwal/awesome-federated-computing |
448 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
cc0-1.0 |
|
| :books: :eyeglasses: A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning. |
| ZeroWangZY/federated-learning |
300 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
mit |
|
| Everything about Federated Learning (papers, tutorials, etc.) -- 联邦学习 |
| ebagdasa/backdoor_federated_learning |
102 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
mit |
Python |
| Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459) |
| Jaskiee/GAN-Attack-against-Federated-Deep-Learning |
46 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
mit |
Python |
| The reproduction of the paper Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning. |
| pliang279/LG-FedAvg |
46 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
mit |
Python |
| Federated Learning with Local and Global Representations |
| facebookresearch/foltr-es |
33 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
other |
Jupyter Notebook |
| The source code to reproduce the results reported in the 'Federated Online Learning to Rank with Evolution Strategies' paper, published at WSDM 2019. |
| krishnap25/RFA |
30 |
|
0 |
0 |
over 3 years ago |
0 |
|
2 |
bsd-2-clause |
Python |
| Robust aggregation for federated learning with the RFA algorithm. |
| krishnap25/simplicial-fl |
20 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
bsd-2-clause |
Python |
| Simplicial-FL to manage client device heterogeneity in Federated Learning |
