BEGIN:VCALENDAR VERSION:2.0 PRODID:-//https://caida.ubc.ca//NONSGML iCalcreator 2.41.92// CALSCALE:GREGORIAN METHOD:PUBLISH UID:66336537-3537-4137-b262-663731653435 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 END:STANDARD BEGIN:DAYLIGHT TZNAME:PDT DTSTART:20250309T020000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RDATE:20260308T020000 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:7dbc433c-116c-4e56-9358-922327125824 DTSTAMP:20260227T085316Z 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 END:VCALENDAR