BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:NZ
BEGIN:DAYLIGHT
DTSTART:20210926T030000
TZOFFSETFROM:+1200
TZOFFSETTO:+1300
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=9
TZNAME:NZDT
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20210404T020000
TZOFFSETFROM:+1300
TZOFFSETTO:+1200
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=4
TZNAME:NZST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20210710T211708Z
UID:FA2CE16C-762E-4B52-ACA0-B4FF78C0B653
DTSTART;TZID=NZ:20210708T160000
DTEND;TZID=NZ:20210708T173000
DESCRIPTION:In this talk\, I will introduce a 5G paradigm in communication 
 and computing\, called mobile edge computing (MEC)\, and discuss how it se
 rves as a platform for realizing edge intelligence. The main feature of ME
 C is to push mobile computing\, AI\, control\, and storage to the network 
 edge (e.g.\, servers near base stations and access points) so as to enable
  intelligent\, computation-intensive\, and latency-critical applications a
 t the resource-limited mobile devices. The promised gains of MEC have moti
 vated extensive efforts by both the academia and industry on developing re
 levant technologies. The first part of this talk will focus on techniques 
 for adaptive computation offloading and the second part on techniques for 
 edge AI building on MEC. The techniques share the theme of cross-disciplin
 ary designs integrating wireless communications\, mobile computing\, and A
 I.\n\nSpeaker(s): Kaibin Huang\, \n\nAuckland\, North Island\, New Zealand
 \, Virtual: https://events.vtools.ieee.org/m/272805
LOCATION:Auckland\, North Island\, New Zealand\, Virtual: https://events.vt
 ools.ieee.org/m/272805
ORGANIZER:nurul.sarkar@aut.ac.nz
SEQUENCE:8
SUMMARY:Mobile edge computing for 5G-and-beyond Prof Kaibin Huang 
URL;VALUE=URI:https://events.vtools.ieee.org/m/272805
X-ALT-DESC:Description: <br /><p>In this talk\, I will introduce a 5G parad
 igm in communication and computing\, called mobile edge computing (MEC)\, 
 and discuss how it serves as a platform for realizing edge intelligence. T
 he main feature of MEC is to push mobile computing\, AI\, control\, and st
 orage to the network edge (e.g.\, servers near base stations and access po
 ints) so as to enable intelligent\, computation-intensive\, and latency-cr
 itical applications at the resource-limited mobile devices. The promised g
 ains of MEC have motivated extensive efforts by both the academia and indu
 stry on developing relevant technologies. The first part of this talk will
  focus on techniques for adaptive computation offloading and the second pa
 rt on techniques for edge AI building on MEC. The techniques share the the
 me of cross-disciplinary designs integrating wireless communications\, mob
 ile computing\, and AI.</p>
END:VEVENT
END:VCALENDAR