21 citations · 23 across the 2 of their papers we have counts for
3 papers
cs.DC2021
DynaComm: Accelerating Distributed CNN Training between Edges and Clouds through Dynamic Communication Scheduling
Shangming Cai, Dongsheng Wang, Haixia Wang +4
To reduce uploading bandwidth and address privacy concerns, deep learning at the network edge has been an emerging topic. Typically, edge devices collaboratively train a shared mod…
cs.CR2019★ 2 cited
LEAP: A Lightweight Encryption and Authentication Protocol for In-Vehicle Communications
Zhaojun Lu, Qian Wang, Xi Chen +3
The Controller Area Network (CAN) is considered as the de-facto standard for the in-vehicle communications due to its real-time performance and high reliability. Unfortunately, the…
cs.NE2019★ 21 cited
QGAN: Quantized Generative Adversarial Networks
Peiqi Wang, Dongsheng Wang, Yu Ji +5
The intensive computation and memory requirements of generative adversarial neural networks (GANs) hinder its real-world deployment on edge devices such as smartphones. Despite the…