TEACHING-Trustworthy autonomous cyber-physical applications through human-centred intelligence

Davide Bacciu, Siranush Akarmazyan, Eric Armengaud, Manlio Bacco, George Bravos, Calogero Calandra, Emanuele Carlini, Antonio Carta, Pietro Cassara, Massimo Coppola, Charalampos Davalas, Patrizio Dazzi, Maria Carmela Degennaro, Daniele Di Sarli, Juergen Dobaj, Claudio Gallicchio, Sylvain Girbal, Alberto Gotta, Riccardo Groppo, Vincenzo LomonacoGeorg Macher, Daniele Mazzei, Gabriele Mencagli, Dimitrios Michail, Alessio Micheli, Roberta Peroglio, Salvatore Petroni, Rosaria Potenza, Farank Pourdanesh, Christos Sardianos, Konstantinos Tserpes, Fulvio Tagliabo, Jakob Valtl, Iraklis Varlamis, Omar Veledar

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


This paper discusses the perspective of the H2020 TEACHING project on the next generation of autonomous applications running in a distributed and highly heterogeneous environment comprising both virtual and physical resources spanning the edge-cloud continuum. TEACHING puts forward a human-centred vision leveraging the physiological, emotional, and cognitive state of the users as a driver for the adaptation and optimization of the autonomous applications. It does so by building a distributed, embedded and federated learning system complemented by methods and tools to enforce its dependability, security and privacy preservation. The paper discusses the main concepts of the TEACHING approach and singles out the main AI-related research challenges associated with it. Further, we provide a discussion of the design choices for the TEACHING system to tackle the aforementioned challenges

Original languageEnglish
Title of host publication2021 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2021
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Electronic)9781665431569
Publication statusPublished - 23 Aug 2021
Externally publishedYes
Event2021 IEEE International Conference on Omni-Layer Intelligent Systems: COINS 2021 - Virtual, Barcelona, Spain
Duration: 23 Aug 202126 Aug 2021

Publication series

Name2021 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2021


Conference2021 IEEE International Conference on Omni-Layer Intelligent Systems
CityVirtual, Barcelona


  • cyber-physical systems
  • distributed neural networks
  • edge artificial intelligence
  • human-centred artificial intelligence
  • ubiquitous and pervasive computing

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality


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