Federated-Learning-Pytorch
FL framework
A PyTorch-based framework for Federated Learning experiments
40 stars
2 watching
10 forks
Language: Python
last commit: over 1 year ago Related projects:
Repository | Description | Stars |
---|---|---|
| A framework for Federated Learning with Differential Privacy using PyTorch | 13 |
| An implementation of Personalized Federated Learning with Moreau Envelopes and related algorithms using PyTorch for research and experimentation. | 291 |
| Evaluates various methods for federated learning on different models and tasks. | 19 |
| A flexible framework for distributed machine learning where participants train local models and collaboratively optimize them without sharing data | 743 |
| A Python implementation of Personalized Federated Learning with Graph using PyTorch. | 49 |
| A decentralized federated learning framework based on blockchain and PyTorch. | 243 |
| A deep learning framework for handling heterogeneous tabular data with diverse column types | 582 |
| An implementation of federated learning algorithm for image classification | 50 |
| A framework for non-IID federated learning via neural propagation | 6 |
| A framework that enables federated learning across multiple datasets while optimizing model performance with record similarities. | 25 |
| An easy-to-use platform for federated learning on PyTorch | 9 |
| An implementation of federated learning and split learning techniques with PyTorch on the HAM10000 dataset | 134 |
| A software framework for benchmarking and implementing various algorithms in federated learning and distributed optimization using PyTorch Distributed API. | 188 |
| Enables the training and validation of machine learning models on distributed datasets in a secure and scalable manner. | 274 |
| An implementation of federated learning with prototype-based methods across heterogeneous clients | 134 |