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DESCRIPTION:Events from ScaDS.AI
X-WR-CALDESC:Events from ScaDS.AI
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TZID:Europe/Berlin
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DTSTART:20211031T030000Z
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DTSTART:20220327T020000Z
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DTSTART:20221030T030000Z
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DTSTART:20260114T152326Z
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UID:22-21
DTSTAMP:20261011T152326Z
SUMMARY:LLLS: #11 Privacy Preserving Data Processing
LOCATION:
ORGANIZER;CN=SCADS:MAILTO:webmaster@puls13.com
DTSTART;TZID=Europe/Berlin:20220609T110000
DTEND;TZID=Europe/Berlin:20220609T120000
X-ALT-DESC;FMTTYPE=TEXT/HTML:In the first part of the lecture\, our researc
 hers talked about Privacy-Preserving Data Publishing (PPDP) and illustrate
 d this topic on the example of mobility data by showing its potential but 
 also highlighting the involved privacy risk when such data is being publis
 hed. Privacy preserving machine learning  (PPML) on the example of decent
 ralised clinical data was&hellip\;
CATEGORIES:Living Lab
URL;VALUE=URI:https://scads.ai/calendar/llls-11-privacy-preserving-data-pro
 cessing/
METHOD:PUBLISH
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