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METHOD:PUBLISH
UID:31663334-3631-4734-b962-376564363962
X-WR-RELCALID:efc09d74-9c93-479e-a94f-485231ddccde
X-WR-TIMEZONE:America/Vancouver
X-WR-CALNAME:Challenges and Opportunities for Federated Learning in the Age
  of Foundation Models - Han Yu\, Associate Professor\, Nanyang Technologic
 al University
BEGIN:VTIMEZONE
TZID:America/Vancouver
TZUNTIL:20270314T100000Z
BEGIN:STANDARD
TZNAME:PST
DTSTART:20241103T020000
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
RDATE:20251102T020000
RDATE:20261101T020000
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TZNAME:PDT
DTSTART:20250309T020000
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
RDATE:20260308T020000
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BEGIN:VEVENT
UID:7dbc433c-116c-4e56-9358-922327125824
DTSTAMP:20260426T052053Z
CLASS:PUBLIC
CREATED:20250707T185525Z
DESCRIPTION:Abstract: The rise of large foundation models underscores the i
 mportance and relevance of federated learning as a key research direction.
  As LLMs become the mainstream in machine learning development\, the resea
 rch focus is shifting from model architecture design to addressing challen
 ges related to privacy preservation and distributed learning in order to e
 fficiently leverage privately owned valuable but sensitive data. Advances 
 in federated learning as an infrastructure for collaborative foundation mo
 del training/finetuning has the potential to unlock the value of large mod
 els by enabling…
DTSTART;TZID=America/Vancouver:20250715T101500
DTEND;TZID=America/Vancouver:20250715T111500
LAST-MODIFIED:20250707T190216Z
LOCATION:UBC Vancouver Campus\, Fried Kaiser (KAIS) building\, Room 2020/20
 30\, 2332 Main Mall
SUMMARY:Challenges and Opportunities for Federated Learning in the Age of F
 oundation Models - Han Yu\, Associate Professor\, Nanyang Technological Un
 iversity
TRANSP:OPAQUE
URL:https://caida.ubc.ca/event/challenges-and-opportunities-federated-learn
 ing-age-foundation-models-han-yu-associate
END:VEVENT
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