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UID:pretalx-gpn22-8MNJ9B@cfp.gulas.ch
DTSTART;TZID=CET:20240531T170000
DTEND;TZID=CET:20240531T180000
DESCRIPTION:Federated Learning (FL) offers a privacy-preserving machine lea
 rning method by enabling collaborative model training across multiple clie
 nts without data sharing\, securing sensitive information at its source. T
 his talk explores Machine Learning applications and how to keep them secur
 e\, for example in critical sectors like healthcare.
DTSTAMP:20240520T164313Z
LOCATION:ZKM Kubus
SUMMARY:Privacy-preserving and Security in Machine Learning - an Introducti
 on to Federated Learning - Jasmin
URL:https://cfp.gulas.ch/gpn22/talk/8MNJ9B/
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