| --- |
| tags: |
| - federated-learning |
| - fl-alliance |
| - defense_graph |
| license: apache-2.0 |
| --- |
| |
| # FL-Alliance Federated Model: crystal-breeze-drift |
|
|
| This model was trained using **FL-Alliance** decentralized federated learning. |
|
|
| ## Training Details |
|
|
| | Parameter | Value | |
| |-----------|-------| |
| | Task Type | `defense_graph` | |
| | Total Rounds | 3 | |
| | Model Hash | `4dcc513891df3c0cd836af5b96d943f8a5d24daa951f7b0a7d36d005dfb83b5f` | |
| | Training Date | 2026-02-21 06:42 UTC | |
| | Demo ID | `demo_20260221_063926` | |
|
|
| ## Model Hash |
|
|
| ``` |
| 4dcc513891df3c0cd836af5b96d943f8a5d24daa951f7b0a7d36d005dfb83b5f |
| ``` |
|
|
| ## 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. |
|
|
