Video compression plays a significant role in IoT devices for the effici...
Privacy-preserving federated learning allows multiple users to jointly t...
Video compression plays a crucial role in enabling video streaming and
c...
Electrohydrodynamic-jet (e-jet) printing technique enables the
high-reso...
We propose HASHTAG, the first framework that enables high-accuracy detec...
Deep neural networks have been shown to be vulnerable to backdoor, or tr...
We propose CLEANN, the first end-to-end framework that enables online
mi...
In the contemporary big data realm, Deep Neural Networks (DNNs) are evol...
Autoregressive convolutional neural networks (CNNs) have been widely
exp...
This paper introduces ASCAI, a novel adaptive sampling methodology that ...
Training large and highly accurate deep learning (DL) models is
computat...
This paper proposes CodeX, an end-to-end framework that facilitates enco...