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

2021

Conference article Open Access

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

Bacciu D., Akarmazyan S., Armengaud E., Bacco M., Bravos G., Calandra C., Carlini E., Carta A., Cassarà P., Coppola M., Davalas C., Dazzi P., Degennaro M. C., Di Sarli D., Dobaj J., Gallicchio C., Girbal S., Gotta A., Groppo R., Lomonaco V., Macher G., Mazzei D., Mencagli G., Michail D., Micheli A., Peroglio R., Petroni S., Potenza R., Pourdanesh F., Sardianos C., Tserpes K., Tagliabò F., Vatl J., Varlamis I., Veledar O.

Ubiquitous and pervasive computing Computer Science - Machine Learning Human-centred artificial intelligence Distributed neural networks Cyber-physical systems Computer Science - Artificial Intelligence Edge artificial intelligence

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.

Source: IEEE COINS 2021 - IEEE International Conference on Omni-layer Intelligent systems, Online conference, 23-26/08/2021

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@inproceedings{oai:it.cnr:prodotti:455251,
	title = {TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence},
	author = {Bacciu D. and Akarmazyan S. and Armengaud E. and Bacco M. and Bravos G. and Calandra C. and Carlini E. and Carta A. and Cassarà P. and Coppola M. and Davalas C. and Dazzi P. and Degennaro M. C. and Di Sarli D. and Dobaj J. and Gallicchio C. and Girbal S. and Gotta A. and Groppo R. and Lomonaco V. and Macher G. and Mazzei D. and Mencagli G. and Michail D. and Micheli A. and Peroglio R. and Petroni S. and Potenza R. and Pourdanesh F. and Sardianos C. and Tserpes K. and Tagliabò F. and Vatl J. and Varlamis I. and Veledar O.},
	doi = {10.1109/coins51742.2021.9524099 and 10.5281/zenodo.5293769 and 10.5281/zenodo.5293768},
	booktitle = {IEEE COINS 2021 - IEEE International Conference on Omni-layer Intelligent systems, Online conference, 23-26/08/2021},
	year = {2021}
}