COMSOC Chicago chapter Distinguished Lecture

Chicago COMSOC Chapter is delighted to be back with the Distinguished Lecture series. Under the leadership of Prof. Besma Smida , IEEE COMSOC North America Director, COMSOC Chicago chapter is pleased to host 3rd IEEE COMSOC Distinguished Lecture Series.
Topic: From Federated to Fog Learning: Expanding the Frontier of Model Training over Contemporary Wireless Network Systems
Abstract
Fog learning is an emerging paradigm for optimizing the orchestration of artificial intelligence services over contemporary network systems. Different from existing distributed techniques such as federated learning, fog learning emphasizes intrinsically in its design the unique node, network, and data properties encountered in today’s fog networks that span computing elements from the edge to the cloud. An important thread of research in fog learning has been on understanding the role that peer-to-peer topologies formed on an ad-hoc basis among local groups of heterogeneous computing elements can play in elevating the achievable tradeoff between intelligence quality and resource efficiency. In this talk, I will discuss recent results on the analysis of fog learning processes which give insights into the impact that these topologies, along with other properties such as model characteristics and fog decision parameters, have on global training performance. Additionally, I will discuss the development of adaptive control methodologies that leverage such relationships for jointly optimizing relevant fog learning metrics.
Speaker(s): Chris, Prasenjit
Agenda:
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Welcome address : Prasenjit Banerjee, IEEE COMSOC Chicago Chapter Chair
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Distinguished Lecture – From Federated to Fog Learning: Expanding the Frontier of Model Training over Contemporary Wireless Network Systems
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Room: 1000, Bldg: Science and Engineering Office, 851 S Morgan St, Chicago, Illinois, United States, 60607