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SUMMARY:Federated Learning: Where we are and where we need to be - Kathari
 ne Jarmul
DTSTART;TZID=Europe/Berlin:20240828T103000
DTEND;TZID=Europe/Berlin:20240828T110000
DTSTAMP:20260811T165016Z
UID:pretalx-euroscipy-2024-PFVX9L@pretalx.com
DESCRIPTION:In this talk\, we'll review the landscape of open-source feder
 ated learning libraries with a lens on actual real world data problems\, u
 se cases and actors who could benefit from federated learning. We'll then 
 analyze gaps\, weaknesses and explore new ways we could formulate federate
 d learning problems (and their associated libraries!) to build more useful
  software and use decentralized machine learning in real world use cases.
LOCATION:Room 7
URL:https://pretalx.com/euroscipy-2024/talk/PFVX9L/
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