Edge-AI: Identifying Key Enablers in Edge Intelligence (Dagstuhl Seminar 23432)

Abstract

Edge computing promises to decentralize cloud applications while providing more bandwidth and reducing latency. Based on the discussion of our first Dagstuhl Seminar and the continuation work that took place after the seminar, we continued our work on identified challenges that need to be further addressed within the community. These challenges included 1) large-scale deployment of the edge-cloud continuum, 2) energy optimization and sustainability of such large-scale AI/ML learning and modelling, and 3) trustworthiness, security, and ethical questions related to the whole continuum. In this seminar, we discussed the current state of Edge Intelligence and shaped a holistic view of its challenges and applications. The main concerns were 1) the assessment and applicability of Edge Intelligence solutions, 2) energy consumption and sustainability, and 3) the new trend of Large-Language Models.