MyML: User-Driven Machine Learning

Machine learning (ML) on resource-constrained edge devices is expensive and often requires offloading computation to the cloud, which may compromise the privacy of user data. In contrast, the type of data processed at edge devices is user specific and limited to few inference classes. In this work,...

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Vydané v:	2021 58th ACM/IEEE Design Automation Conference (DAC) s. 145 - 150
Hlavní autori:	Goyal, Vidushi, Bertacco, Valeria, Das, Reetuparna
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 05.12.2021
Predmet:	Buildings Collaboration Computational modeling Data privacy Design automation Privacy Transfer learning
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