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UID:pretalx-euroscipy-2024-PFVX9L@pretalx.com
DTSTART;TZID=CET:20240828T103000
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DESCRIPTION:In this talk\, we'll review the landscape of open-source federa
 ted learning libraries with a lens on actual real world data problems\, us
 e cases and actors who could benefit from federated learning. We'll then a
 nalyze gaps\, weaknesses and explore new ways we could formulate federated
  learning problems (and their associated libraries!) to build more useful 
 software and use decentralized machine learning in real world use cases.
DTSTAMP:20260307T203856Z
LOCATION:Room 7
SUMMARY:Federated Learning: Where we are and where we need to be - Katharin
 e Jarmul
URL:https://pretalx.com/euroscipy-2024/talk/PFVX9L/
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