Interaction Flow Overview

1.User Initiates Model Call Request:

• The user selects the desired AI model (such as identity verification, credit scoring, image recognition, etc.) from a supported platform or DApp.

• The input data is encrypted and fragmented locally before being submitted.

2.Authorization and Task Submission:

• The user signs the authorization and submits the "task invocation transaction + data pointer" to the Slor smart contract.

• Service fees are paid (either in SLOR tokens or USDT).

3.Model Availability Verification:

• The contract verifies the model's availability and the user's permission before accepting the task.

4.Task Scheduling and Node Distribution:

• The Slor network dispatches the task across multiple nodes via the on-chain task scheduling contract.

• Nodes are selected based on their reputation scores, response times, and geographical latency.

5.MPC Parallel Collaborative Inference:

• The MPC nodes perform parallel inference and invoke other large models as necessary for scalability.

• Each node independently processes its shard of the data, ensuring that no node has access to the raw data.

• Nodes do not share intermediate variables, only performing secure local computations.

• Final results are aggregated using cryptographic protocols.

6.Result On-Chain Record:

• The system generates a hash of the aggregated result and the invocation proof.

• A complete execution record (including node signatures, steps, and CID) is written to the on-chain smart contract for transparency and auditing.

7.User Receives Results and Node Revenue Settlement:

• The user views the returned result via their wallet or invocation record.

• The system automatically distributes the fees to:

  • MPC nodes that participated in the execution.

  • Model developers.

  • Network maintainers (such as foundation fees).