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PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Privacy-Preserving Machine Learning on Graphs
DTSTART:20231201T173000
DTSTAMP:20260501T160021Z
UID:9e948ddc46f9877327fcc64f447c50b94cd2c51ab5941d5a4c87473f
CATEGORIES:Thesis defenses
DESCRIPTION:Sina SAJADMANESH\nThesis Director: Prof. D. Gatica-Perez\,\nEl
 ectrical Engineering doctoral program\nThesis Nr. 10245\n\nTo take part i
 n the public defense\, please contact directly the speaker
LOCATION:ELA 1 https://plan.epfl.ch/?room==ELA%201
STATUS:CONFIRMED
END:VEVENT
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