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DTSTART:20260308T030000
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DTSTAMP:20260214T005422Z
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DTSTART;TZID=America/New_York:20260212T143000
DTEND;TZID=America/New_York:20260212T170000
DESCRIPTION:The rapid proliferation of connected devices\, autonomous syste
 ms\, and data-driven services is transforming modern infrastructures into 
 highly networked\, intelligent ecosystems. From smart transportation and d
 igital healthcare to disaster response and edge AI applications\, these sy
 stems must not only deliver intelligence but also ensure resilience\, priv
 acy\, and adaptability in dynamic and uncertain environments.\n\nThis work
 shop brings together recent advances in intelligent networked systems that
  integrate distributed learning\, privacy-preserving mechanisms\, cooperat
 ive control\, and edge intelligence. A central theme is the design of syst
 ems that remain reliable\, secure\, and efficient while operating under re
 source constraints\, partial observability\, and evolving network conditio
 ns.\n\nSpeaker(s): Xiaohui\, Rongxing\, Nan\, Kuan\, Jianbing\n\nRoom: EIT
 -4152\, Bldg: Centre for Environmental &. Information Technology\, Univers
 ity of Waterloo\, Waterloo\, Ontario\, Canada
LOCATION:Room: EIT-4152\, Bldg: Centre for Environmental &. Information Tec
 hnology\, University of Waterloo\, Waterloo\, Ontario\, Canada
ORGANIZER:leil@uoguelph.ca
SEQUENCE:43
SUMMARY:Intelligent and Resilient Networked Systems
URL;VALUE=URI:https://events.vtools.ieee.org/m/538509
X-ALT-DESC:Description: <br /><p data-start="208" data-end="622">The rapid 
 proliferation of connected devices\, autonomous systems\, and data-driven 
 services is transforming modern infrastructures into highly networked\, in
 telligent ecosystems. From smart transportation and digital healthcare to 
 disaster response and edge AI applications\, these systems must not only d
 eliver intelligence but also ensure resilience\, privacy\, and adaptabilit
 y in dynamic and uncertain environments.</p>\n<p data-start="624" data-end
 ="999">This workshop brings together recent advances in intelligent networ
 ked systems that integrate distributed learning\, privacy-preserving mecha
 nisms\, cooperative control\, and edge intelligence. A central theme is th
 e design of systems that remain reliable\, secure\, and efficient while op
 erating under resource constraints\, partial observability\, and evolving 
 network conditions.</p>
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