| Name | Version | Summary | date |
| metafed-fl |
1.0.0 |
Federated Learning for Metaverse Infrastructures with MARL, Privacy, and Sustainability |
2025-08-28 08:53:46 |
| bitfount |
7.0.0 |
Machine Learning and Federated Learning Library. |
2025-08-20 14:41:35 |
| p2pfl |
0.4.3 |
A p2p federated learning framework |
2025-07-11 10:38:10 |
| fedcore |
0.0.5.3 |
Federated learning core library |
2025-07-09 21:11:50 |
| PETINA |
0.0.16 |
This library contains a collection of privacy preservation techniques. |
2025-07-08 18:53:03 |
| fluke-fl |
0.5.1 |
Federated Learning Utility framework for Experimentation and research. |
2025-01-29 15:04:46 |
| federatedml |
0.0.2 |
federated learning package |
2024-10-31 23:57:15 |
| federated-learning-framework |
0.0.61 |
A modular and extensible framework for federated learning applications. |
2024-07-31 14:10:30 |
| dataset-grouper |
0.3.0 |
Dataset Grouper - A library for datasets with group-level structure. |
2024-04-09 19:26:27 |
| flwr_attacks |
0.1.3 |
Flower Attacks: This is an extension of the Flower framework for Federated Learning. It provides an extenion module that allows the user to perform various attacks on the federated learning process. |
2024-03-01 13:50:59 |
| torchfed |
0.0.2 |
A unified federated learning framework for PyTorch. |
2024-02-22 04:23:36 |
| flock-sdk |
0.0.3 |
An SDK for building applications on top of FLock V1 |
2024-01-31 23:42:57 |
| fedcontinuum |
0.0.2 |
FedContinuum: Federated Continual Learning Scenarios Management Tool |
2024-01-27 21:39:42 |
| vertibench |
0.1.1 |
A tool for benchmarking vertical federated learning algorithms, containing synthetic data split and data evaluation. |
2023-12-17 16:46:21 |
| rhino_health |
0.2.27 |
Standard Development Kit for interacting with the Rhino Health Federated Learning Platform |
2023-10-15 21:37:12 |
| FLite |
1.0.0 |
FLite is a federated learning framework for developers to quickly build federated learning applications.(Design and Implementation of a Topology Based Distributed Training Federated Learning Experimental Framework.)[Software Engineering, School of Computer Science and Technology, WUST, P. Qi(Sensorjang@wust.edu.cn)] |
2023-05-05 11:23:37 |
| feltlabs |
0.5.1 |
FELT python package intended for running federated learning on Ocean protocol. |
2022-12-23 22:27:08 |