Machine learning model training and adaptation occurring directly on end-user devices using only local data, without transmitting raw data to cloud servers. Enables personalised model adaptation, privacy preservation, and offline functionality while addressing challenges of limited compute, memory, and energy. Implemented through transfer learning, few-shot adaptation, and continual learning techniques on mobile and embedded platforms.
Semantic Classification
Content
On-Device Learning (AI-0433) — content pending enrichment.