Learning and Intelligence over Weak Communication Links

#AIML #futurenetworks #webinar #ingr #AI #6G #GenAI #ML #explainability #federatedlearning #ntn #satellite #supervisedlearning #lowrate #weaklink #communications #networking #ieee

Special Presentation by Prof. Petar Popovski (Aalborg University, Denmark)

Hosted by the Future Networks Artificial Intelligence & Machine Learning (AIML) Working Group

Date/Time: Thursday, April 18^th, 2024 @ 12:00 UTC

Topic:

Learning and Intelligence over Weak Communication Links

Abstract:

Besides the fascinating questions on how to train increasingly capable Machine Learning (ML) models and explain their behavior, there is a suite of highly relevant challenges that emerge when ML models become elements of distributed connected systems and networks. A popular instance of this set of problems is federated learning. The first part of the talk will present a federated learning setup over LEO satellite constellation. It will be seen that the predictability of satellite movement can be used to speed up the training process. The second part will deal with a model for supervised learning in which Alice has access to abundant data features but does not have the labels, while Bob is able to provide a correct label for any data point. Alice is connected to Bob through a low-rate communication link and the talk will present strategies that combine active learning and data compression that enable Alice to get the labels. Finally, the third part of the talk discusses generative network layer of communication protocols. This is implemented in an intermediate network node that contains a Generative AI module. When the link to the source is weak, instead of waiting for packets to be routed, the node can generate the packets that need to be sent to the destination. Generative network layer is an early step towards the potential changes in communication protocols based on increasingly capable AI.

Prof. Petar Popovski of Aalborg University, Denmark

Biography:

 

Petar Popovski is a Professor at Aalborg University, where he heads the section on Connectivity and a Visiting Excellence Chair at the University of Bremen. He received his Dipl.-Ing (1997) and M. Sc. (2000) degrees in communication engineering from the University of Sts. Cyril and Methodius in Skopje and the Ph.D. degree (2005) from Aalborg University. He is a Fellow of the IEEE. He received an ERC Consolidator Grant (2015), the Danish Elite Researcher award (2016), IEEE Fred W. Ellersick prize (2016), IEEE Stephen O. Rice prize (2018), Technical Achievement Award from the IEEE Technical Committee on Smart Grid Communications (2019), the Danish Telecommunication Prize (2020) and Villum Investigator Grant (2021). He is currently an Editor-in-Chief of IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS and Chair of the IEEE Communication Theory Technical Committee. He was a Member at Large at the Board of Governors in IEEE Communication Society, as well as the General Chair for IEEE SmartGridComm 2018 and IEEE Communication Theory Workshop 2019. His research interests are in the area of wireless communication and communication theory. He authored the book "Wireless Connectivity: An Intuitive and Fundamental Guide'', published by Wiley in 2020.