LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms
Young D. Kwon, Jagmohan Chauhan, Hong Jia, Stylianos I. Venieris, Cecilia Mascolo
Abstract
Continual Learning (CL) allows applications such as user personalization and household robots to learn on the fly and adapt to context. This is an important feature when context, actions, and users change. However, enabling CL on resource-constrained embedded systems is challenging due to the limited labeled data, memory, and computing capacity.
Topics & Concepts
PersonalizationComputer scienceContext (archaeology)Embedded systemRobotHuman–computer interactionResource (disambiguation)Computer architectureMeta learning (computer science)Feature (linguistics)Distributed computingArtificial intelligenceWorld Wide WebComputer networkSystems engineeringEngineeringLinguisticsBiologyPhilosophyPaleontologyTask (project management)Domain Adaptation and Few-Shot LearningEnergy Efficient Wireless Sensor NetworksContext-Aware Activity Recognition Systems