Privacy-Preserving AI Computing

A computing paradigm for implementing privacy protection within AI systems. It employs techniques such as trusted execution environments and homomorphic encryption to ensure that user data is not arbitrarily accessed by service providers during storage and use, seeking a balance between personalization capabilities and privacy protection.