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VERSION:2.0
PRODID:-//pretalx//global2023.pydata.org//cfp//JB3ZVE
BEGIN:VEVENT
UID:pretalx-cfp-TNQSYA@global2023.pydata.org
DTSTART:20231207T150000Z
DTEND:20231207T160000Z
DESCRIPTION:Federated learning\, a transformative technique\, not only over
 comes data limitations and privacy challenges but also enhances the trustw
 orthiness of machine learning. By moving computation to data sources\, it 
 ensures privacy while enabling collaborative model training on vastly more
  data than before. This keynote introduces federated learning\, demonstrat
 es how Python developers can implement it in under 20 lines of code using 
 the Flower framework (https://flower.dev)\, and provides an outlook on how
  federated learning will shape the next generation of machine learning sys
 tems.
DTSTAMP:20250709T214722Z
LOCATION:Machine Learning Track
SUMMARY:Keynote - Federated Learning with Flower: AI's Next Frontier - Dani
 el Beutel
URL:https://global2023.pydata.org/cfp/talk/TNQSYA/
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