Activity: Talk or presentation › Talk at workshop, seminar or course › Science to science
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.
14 Nov 2020
18th ACM Conference on Embedded Networked Sensor Systems: SenSys 2020