Instrument noise calibration with arbitrary sensor orientations
Sign Up to like & getrecommendations! Published in 2019 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2018.07.052
Abstract: Abstract Instrument noise calibration is indispensable for laboratory and field testing with applications in disciplines such as seismology and structural health monitoring, establishing the basic information for the quality of data. Different methods exist assuming… read more here.
Keywords: method; instrument noise; noise; noise calibration ... See more keywords
Accurate Differentially Private Deep Learning on the Edge
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2021.3064345
Abstract: Deep learning (DL) models are increasingly built on federated edge participants holding local data. To enable insight extractions without the risk of information leakage, DL training is usually combined with differential privacy (DP). The core… read more here.
Keywords: accuracy; model accuracy; noise calibration; edge ... See more keywords