Federated Learning in Cellular Wireless Networks
Next: "Federated Intelligence Over the Air: From Centralized to Collaborative Sensing" by Hina Tabassum, York University, Canada.
Join us for the fourth session of the exciting webinar series on "New Frontiers in Signal Processing in 6G Wireless Networks", a collaboration between IEEE Signal Processing, IEEE Communications Society chapters in Ottawa, and IEEE ComSoC Young Professionals.
Register now and stay tuned for updates on upcoming speakers and topics!
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- Starts 15 October 2025 03:00 AM UTC
- Ends 21 October 2025 04:00 PM UTC
- No Admission Charge
Speakers
Prof. Ekram Hossain
Biography:
Ekram Hossain (IEEE Fellow, 2015) is a Professor in the Department of Electrical and
Computer Engineering at University of Manitoba, Winnipeg, Canada. He is a Member (Class of 2016) of the College of the Royal Society of Canada, a Fellow of the Canadian Academy of Engineering, and also a Fellow of the Engineering Institute of Canada (http://home.cc.umanitoba.ca/~hossaina). He was elevated to an IEEE Fellow “for contributions to spectrum management and resource allocation in cognitive and cellular radio networks". He was listed as a Clarivate Analytics Highly Cited Researcher in Computer Science in 2017-2024.
Dr. Hossain has won several research awards including the 2017 IEEE Communications Society Best Survey Paper Award, the 2011 IEEE Communications Society Fred Ellersick Prize Paper Award, University of Manitoba Merit Award in 2010, 2013, 2014, and 2015 (for Research and Scholarly Activities), and the IEEE Wireless Communications and Networking Conference 2012 (WCNC'12) Best Paper Award. He received the 2017 IEEE ComSoc TCGCC (Technical Committee on Green Communications & Computing) Distinguished Technical Achievement Recognition Award “for outstanding technical leadership and achievement in green wireless communications and networking”. Previously, he served as the Editor-in-Chief of IEEE Press (2018-2021) and IEEE Communications Surveys and Tutorials (2012-2016), an Area Editor for the IEEE Transactions on Wireless Communications in the area of “Resource Management and Multiple Access'' (2009-2011), and an Editor for the IEEE Journal on Selected Areas in Communications - Cognitive Radio Series (2011-2014). He served as the Director of Magazines (2020-2021) and the Director of Online Content for the IEEE Communications Society (2022- 2023). He was a Distinguished Lecturer of the IEEE Communications Society and IEEE Vehicular Technology Society. He served as the Technical Program Chair for the IEEE International Conference on Communications 2022 (IEEE ICC’22). Dr. Hossain is an elected Member of the Board of Governors of the IEEE Communications Society for the term 2025-2027. Also, currently he serves as the Chair of the IEEE Canada Conference Advisory Committee (CONAC).
Address:University of Manitoba, , Winnipeg, Canada
Agenda
Federated learning (FL) is a distributed machine learning setting where a centralized
server trains a learning model by using remote devices. FL algorithms cannot be employed in
wireless networks unless the unreliable and resource-constrained nature of the wireless medium
is taken into account. In this talk, I shall present an FL algorithm that is suitable for cellular
wireless networks in a real-world scenario. I shall discuss its convergence properties and the
effects of local computation steps and communication steps on its convergence. Through
experiments on real and synthetic datasets, I shall demonstrate the performance of the proposed
algorithm. Also, I will present several applications of FL in wireless communications scenarios.
As part of webinar series on "New Frontiers in Signal Processing for 6G Wireless Systems"