BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:How does the classical TE problem Enter the Federated Learning Era
  step by step? - Yuchao Zhang (Beijing University of Posts and Telecommuni
 cations)
DTSTART:20220217T130000Z
DTEND:20220217T140000Z
UID:TALK170438@talks.cam.ac.uk
CONTACT:Kayla-Jade Butkow
DESCRIPTION:*Abstract*: With the rise of edge networks\, regional terminal
  data has been explosively generated in recent years\, so how to solve lar
 ge-scale cross-domain data transmission is becoming a more and more widely
  concerned topic. In this talk\, I'll first introduce our BDS+\, a fast da
 ta duplication system by exploring bottleneck disjoint overlay paths. On t
 his basis\, I'll continue to explore link failure scenario and data privac
 y issues step by step\, and ending by introducing federated learning into 
 traditional traffic engineering and resource scheduling problem.\n\n*Zoom 
 link*: To be released on the day of the talk.\n\n*Bio*: Dr. Yuchao Zhang i
 s an Associate Professor from Beijing University of Posts and Telecommunic
 ations\, China\, where she is the Director of Network and Software Communi
 cation Centre. She is currently a Visiting Scholar in Cambridge University
  and also a Visiting Research Associate in Wolfson College. Her research i
 nterests include Data-driven Network\, Edge Computing\, Federated Learning
  and BlockChain\, and she has a number of National and International proje
 cts in related fields. You can know more about her here:http://yuchaozhang
 .weebly.com/
LOCATION:https://cl-cam-ac-uk.zoom.us/j/93595428213?pwd=TWxwV25KcXZyeXJFY1
 B4VnI5dHhJUT09
END:VEVENT
END:VCALENDAR
