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​TALK​

Wireless networks can be used as platforms for machine learning, taking advantage of the fact that data is often collected at the edges of the network, and also mitigating the latency and privacy concerns that backhauling data to the cloud can entail. This webinar presented an overview of some results on distributed learning at the edges of wireless networks, in which machine learning algorithms interact with the physical limitations of the wireless medium. Two topics were consid​ered: federated learning, in which end-user devices interact with edge devices such as access points to implement joint learning algorithms; and decentralized learning, in which end-user devices learn by interacting in a peer-to-peer fashion without the benefit of an aggregating edge device. Open topics for future research were also discussed briefly. ​

WISDOM CORNER: L​IVE LIFE LESSONS​

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

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SPEAKER: H. Vincent Poor​, Princeton University, USA H. Vinc​​ent Poor is the Michael Henry Strater University Professor at Princeton University, where his inter​ests include information theory, machine learning and network science, and their applications in wireless networks, energy systems, and related areas. His publications in these areas include the forthcoming book Machine Learning and Wireless Communications (Cambridge University Press). Dr. Poor is a Member of ​U.S. National Academy of Engineering and U.S. National Acade​my of Sciences, and an foreign member of Academia Europaea, the Royal Society and other national and international academies. He received the IEEE Alexander Graham Bell Medal in 2017.​

​ WELCOME REMARKS  Chae​​sub​​ ​​​Lee, Direct​​or,  T​​elecommunication Standardization Bureau, ITU​

OPENING REMARKS Ian F. Akyildiz, ITU Journal Editor-in-Chief and Truva Inc., USA​

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​​ MODERATOR Vishnu Ram OV, Independent Consultant and ​​co-organizer of the ITU AI/ML in 5​G Challenge

​​​ MODERATOR OF WISDOM CORNER Alessia Magliarditi​, ITU Journal Manager, ITU​

WATCH RECORDING​​ ​​​​​