Prof. George K. Karagiannidis
Aristotle University of Thessaloniki, Greece
21st June 2022, 4:00pm - 5:00pm (GST)
Wireless Federated Learning for 6G Networks
Conventional machine learning techniques are conducted in a centralized manner. Recently, the massive volume of generated wireless data, the privacy concerns and the increasing computing capabilities of wireless end-devices have led to the emergence of a promising decentralized solution, termed as Wireless Federated Learning (WFL). In this talk, the application of WFL in 6G networks will be presented. After analyzing the key concepts of WFL, we will discuss the core challenges of WFL imposed by the wireless environment. Finally, we shed light to the future directions of WFL, aiming to compose a constructive integration of FL into the future wireless networks. Finally, a novel communication protocol for WFL networks, that is based on NOMA will be introduced and optimized.
George K. Karagiannidis is currently Professor in the Electrical & Computer Engineering Dept. of Aristotle University of Thessaloniki, Greece, and Head of Wireless Communications & Information Processing (WCIP) Group. His research interests are in the broad area of Digital Communications Systems and Signal processing, with emphasis on Wireless Communications, Optical Wireless Communications, Wireless Power Transfer and Applications and Communications & Signal Processing for Biomedical Engineering. Dr. Karagiannidis was the Editor-in Chief of IEEE Communications Letters and currently, he serves as Associate Editor-in Chief of IEEE Open Journal of Communications Society. Dr. Karagiannidis is one of the highly-cited authors across all areas of Electrical Engineering, recognized from Clarivate Analytics as Web-of-Science Highly-Cited Researcher in the seven consecutive years 2015-2021.