Efficient and Privacy-Preserving Artificial Neural Network Model Training With Separated Data in IoT
Abstract: Machine learning models based on artificial neural networks (ANNs) have been widely adopted to support diverse complex applications. However, the training of such models heavily relies on ...
Abstract: This paper proposes a practical method for efficiently estimating the module-level capacitance of high-voltage power modules used in automotive applications. Traditionally, acquiring the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results