| Name | Version | Summary | date |
| flwr-nightly |
1.23.0.dev20251008 |
Flower: A Friendly Federated AI Framework |
2025-10-08 23:06:24 |
| apheris-cli |
0.41.0 |
Apheris CLI package for interaction with the Apheris product. |
2025-09-15 10:22:41 |
| rhino-health |
2.1.7 |
Standard Development Kit for interacting with the Rhino Health Federated Learning Platform |
2025-09-10 11:23:11 |
| fedn |
0.31.0 |
Scaleout Federated Learning |
2025-08-26 08:45:06 |
| flwr |
1.20.0 |
Flower: A Friendly Federated AI Framework |
2025-07-29 12:20:13 |
| apheris-auth |
0.19.0 |
Apheris package to handle authentication and authorisation. |
2025-07-09 09:50:18 |
| royalflush |
0.3.2 |
Royal FLush is a Python framework specifically designed to facilitate the development, execution and analysis of multi-agent systems (MAS) federated learning (FL) experiments. |
2025-01-17 01:12:31 |
| fedgraph |
0.2.2 |
Federated Graph Learning |
2025-01-13 09:20:27 |
| 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-datasets |
0.5.0 |
Flower Datasets |
2024-12-20 13:20:12 |
| tno.fl.protocols.logistic-regression |
1.1.0 |
Implementation of a Federated Learning scheme for Logistic Regression |
2024-12-10 13:38:46 |
| flwr-monitoring |
0.2.0 |
A package for monitoring Flower federated learning framework using Prometheus and WandB |
2024-09-03 03:27:38 |
| flwr-tune |
0.0.1 |
Flower Tune |
2024-05-24 14:25:54 |