Use [[ZKP/ZKP Base Layer/ZKP Blockchain/Technical Build Application Layer/Privacy-Preserving Computations with ZK Wrappers/Circuit Definition for Diverse AI Tasks/Example of PoI Task Circuit for Matrix Multiplication|zk-SNARKs]] verified through [[Substrate]]'s verification infrastructure to verify the correctness of model updates without revealing gradients, ensuring legitimate contributions. This approach ensures that each participant's update to a shared AI model is valid, preventing malicious or incorrect updates from skewing the model, while keeping the underlying [[ZKP/Data Marketplace/Tokenized Datasets/Comprehensive Mechanisms of Tokenized Datasets|data]] private, which is essential for maintaining trust in a decentralized network coordinated through Substrate's [[BABE+GRANDPA|consensus framework.]] See also: [[ZKP/Research/Advanced Federated Learning/Secure Aggregation with SMPC|Secure Aggregation with SMPC]]