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Edge AI networks: Challenges and opportunities

Machine Learning at the wireless edge

TALK

Fueled by the availability of more data and computing power, recent breakthroughs in cloud-based machine learning (ML) have transformed every aspect of our lives from face recognition and medical diagnosis to natural language processing. However, classical ML exerts severe demands in terms of energy, memory and computing resources, limiting their adoption for resource constrained edge devices. The new breed of intelligent devices and high-stake applications (drones, augmented/virtual reality, autonomous systems, etc.), requires a novel paradigm change calling for distributed, low-latency and reliable ML at the wireless network edge (referred to as edge ML). In this webinar, we discussed the challenges and opportunities offered by edge AI networks.

WISDOM CORNER: LIVE LIFE LESSONS

Participants had the chance to hear from Professor Debbah about his impactful life lessons over the years as well as his advice to young researchers in the field of information and communication technologies.

	SPEAKER: Mérouane Debbah, CentraleSupélec and TII, France and UAE Mérouane Debbah received the M.Sc. and Ph.D. degrees from the Ecole Normale Supérieure Paris-Saclay, France. He was with Motorola Labs, Saclay, France, from 1999 to 2002, and also with the Vienna Research Center for Telecommunications, Vienna, Austria, until 2003. From 2003 to 2007, he was an Assistant Professor with the Mobile Communications Department, Institut Eurecom, Sophia Antipolis, France. In 2007, he was appointed Full Professor at CentraleSupélec, Gif-sur-Yvette, France. From 2007 to 2014, he was the Director of the Alcatel-Lucent Chair on Flexible Radio. From 2014 to 2021, he was Vice-President of the Huawei France Research Center. He was jointly the director of the Mathematical and Algorithmic Sciences Lab as well as the director of the Lagrange Mathematical and Computing Research Center. Since 2021, he is Chief Research Officer at the Technology Innovation Institute in Abu Dhabi where he leads jointly the AI and Telecommunication centers. He is also Adjunct Professor at the Mohamed bin Zayed University of Artificial Intelligence in Abu Dhabi. Mérouane Debbah has managed 8 EU projects and more than 24 national and international projects. His research interests lie in fundamental mathematics, algorithms, statistics, information, and communication sciences research. He is an IEEE Fellow, a WWRF Fellow, a Eurasip Fellow, an AAIA Fellow, an Institut Louis Bachelier Fellow and a Membre émérite SEE. He was a recipient of the ERC Grant MORE (Advanced Mathematical Tools for Complex Network Engineering) from 2012 to 2017. He was a recipient of the Mario Boella Award in 2005, the IEEE Glavieux Prize Award in 2011, the Qualcomm Innovation Prize Award in 2012, the 2019 IEEE Radio Communications Committee Technical Recognition Award and the 2020 SEE Blondel Medal. He received more than 20 best paper awards, among which the 2007 IEEE GLOBECOM Best Paper Award, the Wi-Opt 2009 Best Paper Award, the 2010 Newcom++ Best Paper Award, the WUN CogCom Best Paper 2012 and 2013 Award, the 2014 WCNC Best Paper Award, the 2015 ICC Best Paper Award, the 2015 IEEE Communications Society Leonard G. Abraham Prize, the 2015 IEEE Communications Society Fred W. Ellersick Prize, the 2016 IEEE Communications Society Best Tutorial Paper Award, the 2016 European Wireless Best Paper Award, the 2017 Eurasip Best Paper Award, the 2018 IEEE Marconi Prize Paper Award, the 2019 IEEE Communications Society Young Author Best Paper Award, the 2021 Eurasip Best Paper Award, the 2021 IEEE Marconi Prize Paper Award as well as the Valuetools 2007, Valuetools 2008, CrownCom 2009, Valuetools 2012, SAM 2014, and 2017 IEEE Sweden VT-COM-IT Joint Chapter best student paper awards. He is an Associate Editor-in-Chief of the journal Random Matrix: Theory and Applications. He was an Associate Area Editor and Senior Area Editor of the IEEE TRANSACTIONS ON SIGNAL PROCESSING from 2011 to 2013 and from 2013 to 2014, respectively. From 2021 to 2022, he serves as an IEEE Signal Processing Society Distinguished Industry Speaker.
	MODERATOR: Ian F. Akyildiz, ITU J-FET Editor-in-Chief and Truva Inc., USA
	MODERATOR OF WISDOM CORNER: Alessia Magliarditi, ITU Journal Manager, ITU

WATCH RECORDING

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The webinar was open to anyone interested in the topic.
Participation was free of charge.
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Date and time

30 March 2022, from 10:00 to 11:30 EDT / from 16:00 to 17:30 CEST
This webinar consisted of a 45 minute talk, followed by a 15 minute Q&A session and a 30 minute Wisdom Corner: Live Life Lessons.

CONTACT

Contact the Editor-in-Chief, Prof. Ian F. Akyildiz at ian.akyildiz@itu.int
Contact the ITU Journal Manager, Alessia Magliarditi at alessia.magliarditi@itu.int
Meet the ITU Journal Team (journal@itu.int)

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Disclaimer: The views and opinions expressed in this webinar series are those of the panelists and do not reflect the official policy or position of the ITU.