From October 22-25, 2023, Eyal de Lara (University of Toronto, CA), Aaron Ding (TU Delft, NL), Schahram Dustdar (TU Wien, AT) and Ella Peltonen (University of Oulu, FI) organized a successful Dagstuhl Seminar on Edge AI with 4TU, German and international participants:
Identifying Key Enablers in Edge AI
This Dagstuhl seminar "Edge-AI: Identifying Key Enablers in Edge Intelligence" explores the promises of Edge AI to decentralize cloud applications while providing more bandwidth and reducing latency. By hosting the event in the world renowned Schloss Dagstuhl in Germany, the seminar tackles several technical and societal challenges: 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 intelligent edge-cloud continuum. Built on the seminar of 2021, the output will include a tangible roadmap with reflections for a large-scale, energy-efficient, and safety- and privacy-aware Edge AI.