From Federated to Fog Learning: Model Training over Wireless Networks

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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 local topologies formed on an ad-hoc basis among proximal 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.

Distinguished Lecturer Series: https://www.comsoc.org/membership/distinguished-lecturers
Speaker: https://www.comsoc.org/christopher-greg-brinton

 

Date and Time

  • Date: 15 Apr 2025
  • Time: 06:00 PM EDT to 09:00 PM EDT
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Location

  • Rutgers University
  • 94 Brett Road
  • Piscataway, New Jersey
  • United States 08854-8058
  • Building: Busch Campus - Electrical and Computer Engineering
  • Room Number: Room # 240
  • Click here for Map

Hosts

Registration

  • Starts 06 April 2025 10:00 PM EDT
  • Ends 15 April 2025 10:00 PM EDT
  • No Admission Charge

Speakers

Chris Brinton of Purdue University

 

Topic:

From Federated to Fog Learning: Expanding the Frontier of Model Training over Contemporary Wireless Network Systems



Agenda

6:30-7:00pm  Gather, Refreshments and Introduction
7:00-8:00pm  Lecture
8:00-8:30pm  Q&A, networking, wrap-up


Attachments:
North Jersey Section Chapter,COM 19 : http://https://r1.ieee.org/northjersey/chapter/com/
North Jersey/New York Jt Section Chapter,IT12
North Jersey Section : https://r1.ieee.org/northjersey/
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