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:

2. Nodes collect interaction data and retrain models locally.

3. zk-SNARK Validation:

4. Model updates are validated and signed before sharing.

5. Selective Sharing:

6. Updates are broadcasted only to relevant nodes.

sequenceDiagram
    Node1 ->> Node1: Local Model Retraining
    Node1 ->> zkSNARK: Validate Update
    zkSNARK -->> Node2: Validated Update
    Node2 ->> Node2: Incorporate Update