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04/14/2023
Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognition
Naturalistic driving action recognition (NDAR) has proven to be an effec...
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01/12/2023
Federated Transfer-Ordered-Personalized Learning for Driver Monitoring Application
Federated learning (FL) shines through in the internet of things (IoT) w...
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11/22/2020
Who is in Control? Practical Physical Layer Attack and Defense for mmWave based Sensing in Autonomous Vehicles
With the wide bandwidths in millimeter wave (mmWave) frequency band that...
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04/26/2019
Towards Data Poisoning Attack against Knowledge Graph Embedding
Knowledge graph embedding (KGE) is a technique for learning continuous e...
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02/21/2019
STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks
Recent advances in deep learning motivate the use of deep neural network...
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10/10/2018
Towards Differentially Private Truth Discovery for Crowd Sensing Systems
Nowadays, crowd sensing becomes increasingly more popular due to the ubi...
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09/19/2018
FastDeepIoT: Towards Understanding and Optimizing Neural Network Execution Time on Mobile and Embedded Devices
Deep neural networks show great potential as solutions to many sensing a...
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06/05/2017
