Analysis of Privacy-Enhancing Technologies in Open-Source Federated Learning Frameworks for Driver Activity Recognition

Analysis of Privacy-Enhancing Technologies in Open-Source Federated Learning Frameworks for Driver Activity Recognition

Wearable devices and smartphones that are used to monitor the activity and the state of the driver collect a lot of sensitive data such as audio, video, location and even health data. The analysis and processing of such data require observing the strict legal requirements for personal data security...

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Bibliographic Details
Main Authors:	Evgenia Novikova, Dmitry Fomichov, Ivan Kholod, Evgeny Filippov
Format:	Article
Language:	English
Published:	MDPI AG 2022-04-01
Series:	Sensors
Subjects:	privacy federated learning driver activity monitoring open-source federated learning frameworks differential privacy homomorphic encryption
Online Access:	https://www.mdpi.com/1424-8220/22/8/2983

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