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SUMMARY:The Information Velocity of Packet-Erasure Links
DTSTART:20230405T131500
DTEND:20230405T141500
DTSTAMP:20260415T122626Z
UID:99f921e49629e9328cff8e8e92d3a6fa6c504804fd138c042f168563
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Anatoly Khina\nEE\, Tel-Aviv University\nWhat is the max
 imal speed—the information velocity—at which information can propagat
 e reliably in a network through a cascade of links? \nInformation theory 
 tells us what is the maximal rate of reliable communications through a sma
 ll number of such links when delay is not important. However\, if we want 
 to communicate in real time\, answering this question becomes much more c
 hallenging. In fact\, even for the simple case of transmitting a single b
 it over a tandem of links\, where each flips its input independently (acr
 oss time & links)\, an answer was given only very recently.\nIn this talk
 \, I will present some recent results for this problem for packet-based li
 nks with ACK signals. In particular\, I will derive the information veloci
 ty for a causally arriving stream of packets\, and determine the arrive-fa
 ilure exponential decay rate below the information velocity.\n\nNo prior k
 nowledge of information theory or queueing theory will be assumed.\nJoint 
 work with Elad Domanovitz & Tal Philosof.\n\n\nBio: Anatoly Khina is a fac
 ulty member in the School of Electrical Engineering\, Tel Aviv University\
 , Tel Aviv\, Israel\, from which he holds B.Sc. (2006)\, M.Sc. (2010)\, an
 d Ph.D. (2016) degrees\, all in Electrical Engineering. Parallel to his st
 udies\, he has worked as an engineer in various roles focused on algorithm
 s\, software and hardware R&D. He was a Postdoctoral Scholar in the Depart
 ment of Electrical Engineering\, California Institute of Technology\, Pasa
 dena\, CA\, USA\, from 2015 to 2018\, and a Research Fellow at the Simons 
 Institute for the Theory of Computing\, University of California\, Berkele
 y\, Berkeley\, CA\, USA\, during the spring of 2018. His research interest
 s include Information Theory\, Control Theory\, Signal Processing and Stat
 istics.\n 
LOCATION:INR 113 https://plan.epfl.ch/?room==INR%20113
STATUS:CONFIRMED
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