We seek to develop [[ZKP/Research/Noise/Adaptive Noise Scaling|adaptive noise mechanisms]] for [[ZKP/Research/Advanced Federated Learning/Differential Privacy in Federated Learning|differential privacy]] that dynamically adjust based on data sensitivity and application needs, optimizing privacy-utility trade-offs for [[ZKP/Data Marketplace/Security and Privacy/Security and Privacy Foundations|secure AI computations]] within [[Substrate]]'s modular framework. See also: [[ZKP/Research/Noise/Adaptive Noise Scaling|Adaptive Noise Scaling]]