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SUMMARY:Distributed Economic Consensus: Federated Learning and Related App
 lications
DTSTART:20231011T143000
DTEND:20231011T153000
DTSTAMP:20260408T110437Z
UID:918cf481285989a809125b0ed8f9fcd1e0e6a04fbe3e2dbef73143ca
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Sriram Vishwanath - University of Texas in Austin  hoste
 d by Prof. Emre Telatar (LTHI)\nThis seminar was given on Monday 9th as pa
 rt of the IC colloquium. Sriram offers a more detailed and mathematical ve
 rsion for IPG seminar\nDistributed systems that utilize incentive alignmen
 t together with economic consensus algorithms are of significant interest 
 for many domains\, including distributed machine learning/AI\, distributed
  wireless spectrum sharing and distributed resource allocation for both ph
 ysical and virtual resources.\n\nIn this talk\, we will move past the bloc
 kchain hype by first explaining the nature of distributed economic consens
 us and its difference from traditional distributed systems consensus algor
 ithms. Then\, we will delve into the benefits and limitations of such cons
 ensus mechanisms. Through illustrative examples including federated learni
 ng\, distributed wireless spectrum sharing and related problems\, we will 
 understand the benefits of distributed economic consensus over both centra
 lized schemes and other traditional\, non-economic consensus algorithms.\n
 \nBio:\nSriram Vishwanath received the B. Tech. degree in Electrical Engin
 eering from the Indian Institute of Technology (IIT)\, Madras\, India in 1
 998\, the M.S. degree in Electrical Engineering from California Institute 
 of Technology (Caltech \, Pasadena USA in 1999\, and the Ph.D. degree in E
 lectrical Engineering from Stanford University\, Stanford\, CA USA in 2003
 .  Over the past 20 years\, he is a Professor in the Chandra Department o
 f Electrical and Computer Engineering at The University of Texas at Austin
 .\n\nSriram’s research is in the domains of blockchain systems\, machine
  learning/AI and information & coding theory. He has over 250 refereed res
 earch papers\, and multiple research awards. He works across a diverse set
  of areas and specializes in bringing the gap between theory and practice.
  In particular\, he has been involved in multiple spinouts from The Univer
 sity of Texas. Sriram also runs a non-profit incubator/accelerator for dee
 p tech startups.\n 
LOCATION:BC 03 https://plan.epfl.ch/?room==BC%2003
STATUS:CANCELLED
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