MIT researchers developed a technique that accelerates a privacy-preserving approach for training AI models on edge devices. Their new framework could enable more accurate, efficient, and secure AI models to be used in under-resourced settings.
MIT researchers developed a technique that accelerates a privacy-preserving approach for training AI models on edge devices. Their new framework could enable more accurate, efficient, and secure AI models to be used in under-resourced settings.