Large Language Models (LLMs), Optimization, and Game Theory

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Large Language Models (LLMs), Optimization, and Game Theory

LLMs, Optimization, and Game Theory

Special Presentation by Dr. Samson Lasaulce (Khalifa U., UAE)

Hosted by the Future Networks Artificial Intelligence & Machine Learning (AIML) Working Group

Date/Time: Thursday, 17 April 2025 @ 12:00 UTC

Topic:

Large Language Models (LLMs), Optimization, and Game Theory 

Abstract:

In this talk, we will explore the interplay between large language models (LLMs) and optimization. After introducing a use case (consumption power scheduling) for which studying this interplay is fully relevant, we will survey the main approaches in this area, which include pure LLM-based approaches (e.g., to deal with math word problems) and combined approaches. Both limitations and promising solutions will be discussed. Application to radio resource management and to telecommunications more generally will also be addressed. In the last part of the talk, connections between LLMs and game theory will be discussed.

Speaker:

Samson Lasaulce is a Chief Research Scientist with Khalifa University. He is the holder of the TII 6G Chair on Native AI. He is also a CNRS Director of Research with CRAN at Nancy. He has been the holder of the RTE Chair on the "Digital Transformation of Electricity Networks". He has also been a part-time Professor with the Department of Physics at École Polytechnique (France). Before joining CNRS he has been working for five years in private R&D companies (Motorola Labs and Orange Labs). His current research interests lie in distributed networks with a focus on optimization, game theory, and machine learning. The main application areas of his research  are wireless networks, energy networks, social networks, and now climate change. Dr Lasaulce has been serving as an editor for several international journals such as the IEEE Transactions. He is the co-author of more than 200 publications, including a dozen of patents and several books such as "Game Theory and Learning for Wireless Networks: Fundamentals and Applications". Dr Lasaulce is also the recipient of several awards such as the Blondel Medal award from the SEE French society..

 

Date and Time

  • Date: 17 Apr 2025
  • Time: 08:00 AM EDT to 09:00 AM EDT
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Location

  • This event has virtual attendance info. Please visit the event page to attend virtually.

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Registration

  • Starts 13 March 2025 08:00 PM EDT
  • Ends 17 April 2025 07:55 AM EDT
  • No Admission Charge



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