| Name | Version | Summary | date |
| fedml |
0.9.5 |
A research and production integrated edge-cloud library for federated/distributed machine learning at anywhere at any scale. |
2024-12-25 06:56:41 |
| flwr-nightly |
1.15.0.dev20241224 |
Flower: A Friendly Federated AI Framework |
2024-12-24 23:05:52 |
| flwr-datasets |
0.5.0 |
Flower Datasets |
2024-12-20 13:20:12 |
| flwr |
1.14.0 |
Flower: A Friendly Federated AI Framework |
2024-12-20 12:11:23 |
| tno.fl.protocols.logistic-regression |
1.1.0 |
Implementation of a Federated Learning scheme for Logistic Regression |
2024-12-10 13:38:46 |
| fedn |
0.20.0 |
Scaleout Federated Learning |
2024-12-04 11:37:47 |
| rhino-health |
1.3.3 |
Standard Development Kit for interacting with the Rhino Health Federated Learning Platform |
2024-11-27 14:44:20 |
| royalflush |
0.1.0 |
Royal Flush is a Python framework specifically designed to facilitate the development, execution and analysis of multi-agent systems (MAS) federated learning (FL) experiments. |
2024-10-17 17:28:44 |
| flwr-monitoring |
0.2.0 |
A package for monitoring Flower federated learning framework using Prometheus and WandB |
2024-09-03 03:27:38 |
| fedgraph |
0.1.2 |
Federated Graph Learning |
2024-06-26 22:38:37 |
| flwr-tune |
0.0.1 |
Flower Tune |
2024-05-24 14:25:54 |