Privacy-Preserving Multi-Party Machine Learning for Object Detection

dc.contributor.author	Chakroun, Imen
dc.contributor.author	Vander Aa, Tom
dc.contributor.author	Wuyts, Roel
dc.contributor.author	Verachtert, Wilfried
dc.contributor.imecauthor	Chakroun, Imen
dc.contributor.imecauthor	Vander Aa, Tom
dc.contributor.imecauthor	Wuyts, Roel
dc.contributor.imecauthor	Verachtert, Wilfried
dc.contributor.orcidimec	Chakroun, Imen::0000-0002-8873-1793
dc.contributor.orcidimec	Vander Aa, Tom::0000-0002-1504-5266
dc.contributor.orcidimec	Wuyts, Roel::0000-0003-4236-995X
dc.date.accessioned	2022-06-16T13:13:42Z
dc.date.available	2022-05-19T02:21:23Z
dc.date.available	2022-06-16T13:13:42Z
dc.date.issued	2021
dc.identifier.doi	10.1109/GCAIoT53516.2021.9692980
dc.identifier.eisbn	978-1-6654-3841-4
dc.identifier.issn	na
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/39836
dc.publisher	IEEE
dc.source.beginpage	7
dc.source.conference	IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)
dc.source.conferencedate	DEC 12-16, 2021
dc.source.conferencelocation	Dubai
dc.source.endpage	13
dc.source.journal	na
dc.source.numberofpages	7
dc.subject.keywords	EDGE
dc.title	Privacy-Preserving Multi-Party Machine Learning for Object Detection
dc.type	Proceedings paper
dspace.entity.type	Publication
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