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Flower Dashboard

Federated Learning Management System

offline

Server Status

❌Offline
0
Active Clients
0
Training Now
0
Completed Rounds
N/A
Best Accuracy
Current Task: none

Federated Clients

0 total clientsPending: 0
Data Alignment
Issues
How a client joins this server
1) From any machine with Python and this repoʼs client code:
python server/client.py --client-id client-4 --server YOUR_SERVER_IP:8080 [--data-split iid|non_iid]
2) Or run with Docker (same host network shown for simplicity):
docker run --rm -it --network host -v $(pwd)/data:/app/data aflower-flower-client-1:latest \ python client.py --client-id client-4 --server YOUR_SERVER_IP:8080
3) On startup, the client posts metadata and appears here as connected. After alignment shows “Aligned”, use “Start Federated Training”.
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No clients connected
Start the Flower server to see connected clients

Training Controls

⚪ Ready

Training Configuration

Baseline federated averaging: clients train locally and the server averages model weights each round. Simple and widely used.
BaselineCompatible

Participating Clients

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⚠️
No clients available
Make sure the Flower server is running and clients are connected

Federated Learning Tasks

Quick Create:
No tasks created yet. Use the buttons above to create your first task.

Training Metrics

0 rounds completed
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No training data available
Start a training session to see metrics and charts