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Talk on "Personalized Federated Learning and Its Application in 360-degree Video Streaming" by Prof. Vincent Wong from the University of British Columbia, Canada

We are pleased to inform you about the upcoming seminar by Prof. Vincent Wong from the University of British Columbia, Canada titled:"Personalized Federated Learning and Its Application in 360-degree Video Streaming" Everyone interested is cordially invited to attend!

Title:

Personalized Federated Learning and Its Application in 360-degree Video Streaming

Abstract:

Federated learning is a distributed artificial intelligence framework, which allows multiple edge devices to train a single model collaboratively. In this talk, we first introduce a personalized federated learning algorithm which can tackle the issues of data heterogeneity and device heterogeneity. Then, we present a content-based viewport prediction framework for 360- degree video streaming, wherein users' head movement prediction models are trained using a personalized federated learning algorithm. The output of the viewport prediction framework corresponds to which video tiles to be transmitted. Finally, we present an algorithm to determine the bitrate and beamforming matrices in a THz-enabled 360-degree video streaming system with multiple access points.

Speaker Bio:

Vincent Wong is a Professor in the Department of Electrical and Computer Engineering at the University of British Columbia, Vancouver, Canada. His research areas include protocol design, optimization, and resource management of communication networks, with applications to the
Internet, wireless networks, smart grid, mobile edge computing, and Internet of Things.
Dr. Wong is the Editor-in-Chief of the IEEE Transactions on Wireless Communications.
He is a Fellow of the IEEE and the Engineering Institute of Canada.