TY - GEN
T1 - Trustworthy and Sustainable Edge AI
T2 - 3rd IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications, TPS-ISA 2021
AU - Ding, Aaron Yi
AU - Janssen, Marijn
AU - Crowcroft, Jon
N1 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
PY - 2021
Y1 - 2021
N2 - As a fast evolving domain that merges edge computing, data analytics and AI/ML, commonly referred as Edge AI, the community of Edge AI is establishing and gradually finds its way to connect with mainstream research communities of distributed systems, IoT, and embedded machine learning. Meanwhile, despite of its well-claimed potential to transform cloud and IoT industry, Edge AI is still a complex subject that faces critical challenges from the trustworthy and sustainable concerns. To shed light on these pressing matters, this paper aims to develop a research agenda for trustworthy and sustainable Edge AI. We clarify the concepts, define the proper scoping and propose a research agenda for Edge AI to be trustworthy and sustainable. To illustrate the research agenda in practice, we highlight two active RD projects: the SPATIAL project on trustworthy Edge AI and the APROPOS project on sustainable computing. The projects serve as concrete use cases to explore the agenda development. Our goal is to equip researchers, engineers, service providers, government and public sectors with a better understanding of the underlying concepts and to raise awareness of emerging directions in trustworthy and sustainable Edge AI.
AB - As a fast evolving domain that merges edge computing, data analytics and AI/ML, commonly referred as Edge AI, the community of Edge AI is establishing and gradually finds its way to connect with mainstream research communities of distributed systems, IoT, and embedded machine learning. Meanwhile, despite of its well-claimed potential to transform cloud and IoT industry, Edge AI is still a complex subject that faces critical challenges from the trustworthy and sustainable concerns. To shed light on these pressing matters, this paper aims to develop a research agenda for trustworthy and sustainable Edge AI. We clarify the concepts, define the proper scoping and propose a research agenda for Edge AI to be trustworthy and sustainable. To illustrate the research agenda in practice, we highlight two active RD projects: the SPATIAL project on trustworthy Edge AI and the APROPOS project on sustainable computing. The projects serve as concrete use cases to explore the agenda development. Our goal is to equip researchers, engineers, service providers, government and public sectors with a better understanding of the underlying concepts and to raise awareness of emerging directions in trustworthy and sustainable Edge AI.
KW - Edge AI
KW - Edge computing
KW - IoT
KW - sustainable AI
KW - trustworthiness
UR - http://www.scopus.com/inward/record.url?scp=85128703636&partnerID=8YFLogxK
U2 - 10.1109/TPSISA52974.2021.00019
DO - 10.1109/TPSISA52974.2021.00019
M3 - Conference contribution
AN - SCOPUS:85128703636
T3 - Proceedings - 2021 3rd IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications, TPS-ISA 2021
SP - 164
EP - 172
BT - Proceedings - 2021 3rd IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications, TPS-ISA 2021
PB - Institute of Electrical and Electronics Engineers (IEEE)
Y2 - 13 December 2021 through 15 December 2021
ER -