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UID:0-7329@eng.ufl.edu
DTSTART;TZID=America/New_York:20250225T120000
DTEND;TZID=America/New_York:20250225T130000
DTSTAMP:20251201T210652Z
URL:https://www.eng.ufl.edu/news-events/events/cise-faculty-seminar-jingwe
 i-sun/
SUMMARY:CISE Faculty Seminar: Jingwei Sun
DESCRIPTION:Zoom Talk: https://ufl.zoom.us/j/96370813221\nBiography: Jingwe
 i Sun is a final-year Ph.D. student in ECE at Duke University\, advised by
  Prof. Yiran Chen. Jingwei Sun’s research focuses on efficient and trust
 worthy edge intelligent systems. His work appears in AI conferences such a
 s NeurIPS\, ICML\, CVPR\, and ICCV \, as well as system conferences such a
 s MobiCom\, SenSys\, and MLsys. He has received\nthe Best Paper Award from
  the AAAI Spring Series Symposium 2024.\nTitle of the Talk: Advancing Effi
 cient and Trustworthy\nAI on the Edge\nAbstract: Edge AI brings intelligen
 ce closer to users\, enabling real-time\, personalized interactions while 
 maintaining data privacy. However\, the increasing reliance on edge device
 s presents two significant challenges: ensuring efficient AI operations wi
 thin resource-constrained environments and addressing trustworthiness conc
 erns to safeguard sensitive on-device data. In this talk\, I will first ta
 lk about efficient model training and personalization on edge devices\, fo
 cusing on methods that eliminate the need for backpropagation to reduce co
 mputational and memory costs. Then\, I will present works on enhancing pri
 vacy and robustness for Edge AI\, introducing strategies to protect data i
 ntegrity and defend against adversarial threats. These efforts address cri
 tical limitations and pave the way for efficient and trustworthy Edge AI s
 olutions.
CATEGORIES:Faculty Search
LOCATION:Malachowsky Hall 5210\, 1889 Museum Road\, Gainesville\, Florida\,
  32611\, United States
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1889 Museum Road\, Gainesvi
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 ky Hall 5210:geo:0,0
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