Implement efficient SMPC protocols coordinated through [[Substrate]]'s [[Proof Pod Function and Architecture|off-chain workers]] to aggregate updates securely, preventing any party from [[ZKP/Data Marketplace/Tokenized Datasets/Tiered Access Control|accessing]] others' data [100]. Research will optimize communication rounds for scalability. SMPC distributes the aggregation process across multiple nodes, ensuring that no single node can see the full set of updates, which is critical for protecting sensitive data in collaborative settings, such as when multiple organizations train a shared AI model while leveraging Substrate's networking capabilities. See also: [[ZKP/Research/Advanced Federated Learning/Differential Privacy in Federated Learning|Differential Privacy in Federated Learning]]