Encrypted Local Learning

Shadow AI leverages on-device inference and training loops to ensure privacy. Instead of uploading user data to remote servers for model improvement:

• A lightweight inference engine processes user tasks locally.

• Federated learning techniques (modified for privacy-first design) allow model refinement without central aggregation.

• Sensitive user information never leaves the Mind Vault.