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SUMMARY:Distributed Economic Consensus: Federated Learning and Related App
 lications
DTSTART:20231026T153000
DTEND:20231026T163000
DTSTAMP:20260511T081212Z
UID:e9cdf61a595308711ec12b33ec12fcf6b7f03efcad782ebe4651bcb3
CATEGORIES:Conferences - Seminars
DESCRIPTION:  Prof. Sriram Vishwanath - University of Texas in Austin ho
 sted by Prof. Emre Telatar (LTHI)\nThis seminar was given on Monday 9th as
  part of the IC colloquium. Sriram offers a more detailed and mathematical
  version for IPG seminar\n\nDistributed systems that utilize incentive ali
 gnment together with economic consensus algorithms are of significant inte
 rest for many domains\, including distributed machine learning/AI\, distri
 buted wireless spectrum sharing and distributed resource allocation for bo
 th physical and virtual resources.\n\nIn this talk\, we will move past the
  blockchain hype by first explaining the nature of distributed economic co
 nsensus and its difference from traditional distributed systems consensus 
 algorithms. Then\, we will delve into the benefits and limitations of such
  consensus mechanisms. Through illustrative examples including federated l
 earning\, distributed wireless spectrum sharing and related problems\, we 
 will understand the benefits of distributed economic consensus over both c
 entralized schemes and other traditional\, non-economic consensus algorith
 ms.\n\nBio:\nSriram Vishwanath received the B. Tech. degree in Electrical 
 Engineering from the Indian Institute of Technology (IIT)\, Madras\, India
  in 1998\, the M.S. degree in Electrical Engineering from California Insti
 tute of Technology (Caltech \, Pasadena USA in 1999\, and the Ph.D. degree
  in Electrical Engineering from Stanford University\, Stanford\, CA USA in
  2003.  Over the past 20 years\, he is a Professor in the Chandra Departm
 ent of Electrical and Computer Engineering at The University of Texas at A
 ustin.\n\nSriram’s research is in the domains of blockchain systems\, ma
 chine learning/AI and information & coding theory. He has over 250 referee
 d research papers\, and multiple research awards. He works across a divers
 e set of areas and specializes in bringing the gap between theory and prac
 tice. In particular\, he has been involved in multiple spinouts from The U
 niversity of Texas. Sriram also runs a non-profit incubator/accelerator fo
 r deep tech startups.
LOCATION:BC 129 https://plan.epfl.ch/?room==BC%20129
STATUS:CONFIRMED
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