PhD Forum Abstract: Privacy-Preserving Machine Learning for Time Series Data

Activity: Talk or presentationTalk at workshop, seminar or courseScience to science

Description

Machine learning has a lot of potential when applied to time series sensor data, yet a lot of this potential is currently not utilized, due to privacy concerns of parties in charge of this data. In this work I want to apply privacy-preserving techniques to machine learning for time series data, in order to unleash the dormant potential of this type of data.
Period14 Nov 2020
Event title18th ACM Conference on Embedded Networked Sensor Systems: SenSys 2020
Event typeConference
LocationVirtual, Yokohama, Japan
Degree of RecognitionInternational