IEEE

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 ...
IEEE

Efficient Tensor Offloading for Large Deep-Learning Model Training based on Compute Express Link

Abstract: The deep learning models (DL) are becoming bigger, easily beyond the memory capacity of a single accelerator. The recent progress in large DL training utilizes CPU memory as an extension of ...