The envisioned federated learning implementation leverages several components of the [[ZKP/ZKP Base Layer/ZKP Blockchain/High Level Overview|ZKP Blockchain's base layer:]] ## Privacy Preservation The system's [[ZKP/ZKP Base Layer/Core Concepts/Zero-Knowledge Proofs|zero-knowledge capabilities]] verified through the verification infrastructure could provide additional privacy assurances for model updates, addressing potential inference attacks [77, 93]. ## Data Access The marketplace's tiered access control framework implemented through custom pallets provides the foundation for selective dataset utilization in training scenarios [77]. ## Computational Verification The base layer's [[Proof of Intelligence (PoI)]] mechanisms for specific mathematical operations integrated with [[BABE+GRANDPA]] consensus could help verify certain aspects of the training process [79]. See also: [[ZKP/Data Marketplace/Federated Learning/Implementation Considerations|Implementation Considerations]]