3.5 Confidential Enterprise Analytics

AI model inference across organizations without exposing data.

🧠 Architecture

Org A Data ─┐
            ├─► MPC & zk Checkpoint ─► FederatedModelRegistry ─► Global Model Hash
Org B Data ─┘                │
                   Client Encrypted Query ─► MPC Inference ─► zk Proof ─► InferenceContract

💻 Contract Snippet

function submitInference(uint256 modelId, bytes32 inHash, uint256 out, bytes calldata proof) external {
    require(verifier.verifyProof(proof, [modelId, uint(inHash), out]), "invalid proof");
    results[msg.sender] = out;
}

📊 Benchmarks

• Inference latency: 2–10 s

• Proof size: ~200 KB

• Federated training: ~5 min

🛠️ Steps

• Register initial model

• MPC training with zk checkpoint

• UI → encrypted query → inference → verify