Confidential computing protects sensitive code and data while a processor is actively using them. Here is how trusted execution environments work, what attestation proves, and where the protection ends.
Federated learning lets many devices or organizations improve a shared AI model without pooling their raw data. Here is how the training loop works, what it protects, and where its limits begin.
On-device AI moves useful machine learning tasks from distant servers to the phone, laptop, or wearable in your hand. Here is how it works, where it helps, and what its limits mean for you.