2021/07/14 by Davide Bacciu, Siranush Akarmazyan, Bacciu, Davide +67
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Machine Learning (cs.LG)
paper · pdf · doi:10.48550/arxiv.2107.06543
openalex publication_date 2021/07/14 · openalex created_date 2022/10/01 · openalex updated_date 2026/07/28
This paper discusses the perspective of the H2020 TEACHING project on the\nnext generation of autonomous applications running in a distributed and highly\nheterogeneous environment comprising both virtual and physical resources\nspanning the edge-cloud continuum. TEACHING puts forward a human-centred vision\nleveraging the physiological, emotional, and cognitive state of the users as a\ndriver for the adaptation and optimization of the autonomous applications. It\ndoes so by building a distributed, embedded and federated learning system\ncomplemented by methods and tools to enforce its dependability, security and\nprivacy preservation. The paper discusses the main concepts of the TEACHING\napproach and singles out the main AI-related research challenges associated\nwith it. Further, we provide a discussion of the design choices for the\nTEACHING system to tackle the aforementioned challenges\n