| --- |
| tags: |
| - federated-learning |
| - fl-alliance |
| - graph_neural_network |
| license: apache-2.0 |
| --- |
| |
| # FL-Alliance Federated Model: flint-harbor-marsh |
|
|
| This model was trained using **FL-Alliance** decentralized federated learning. |
|
|
| ## Training Details |
|
|
| | Parameter | Value | |
| |-----------|-------| |
| | Task Type | `graph_neural_network` | |
| | Total Rounds | 5 | |
| | Model Hash | `71106dbd1abd9d76ec2de29ca295f9f707db3f5aa3acc72599da6f97d4bd9ab8` | |
| | Training Date | 2026-02-23 10:37 UTC | |
| | Demo ID | `demo_20260223_103257` | |
|
|
| ## Model Hash |
|
|
| ``` |
| 71106dbd1abd9d76ec2de29ca295f9f707db3f5aa3acc72599da6f97d4bd9ab8 |
| ``` |
|
|
| ## About FL-Alliance |
|
|
| FL-Alliance is a decentralized federated learning platform that enables collaborative |
| model training across distributed nodes while preserving data privacy. |
|
|
| The model weights were aggregated through on-chain consensus voting across multiple |
| training rounds, ensuring Byzantine fault tolerance and model quality. |
|
|
