Retraining Mechanism

Federated Learning and Model Updates

Each node performs local model retraining based on new data and shares relevant updates across the network.

1. Local Training:

   • Nodes collect interaction data and retrain models locally.

2. zk-SNARK Validation:

   • Model updates are validated and signed before sharing.

3. Selective Sharing:

   • Updates are broadcasted only to relevant nodes.