2 papers
cs.CR2020
Private Knowledge Transfer via Model Distillation with Generative Adversarial Networks
Di Gao, Cheng Zhuo
The deployment of deep learning applications has to address the growing privacy concerns when using private and sensitive data for training. A conventional deep learning model is p…
cs.AR2019
Eva-CiM: A System-Level Performance and Energy Evaluation Framework for Computing-in-Memory Architectures
Di Gao, Dayane Reis, Xiaobo Sharon Hu +1
Computing-in-Memory (CiM) architectures aim to reduce costly data transfers by performing arithmetic and logic operations in memory and hence relieve the pressure due to the memory…