4 citations · 5 across the 4 of their papers we have counts for
5 papers
EdgeFaaS: A Function-based Framework for Edge Computing
Neha Vadnere, Yu-Ting Wang, Yitao Chen +2
Edge computing brings unique challenges as the resources on the edge are highly diverse in capabilities and capacities, and highly distributed across many users and the physical wo…
LiDAR-based Outdoor Crowd Management for Smart Campus on the Edge
Yitao Chen, Krishna Gundu, Zohair Zaidi +1
Crowd management is crucial for a smart campus. Popular methods are camera-based. However, conventional camera-based approaches may leak users' personally identifiable features, je…
Confidence-based federated distillation for vision-based lane-centering
Yitao Chen, Dawei Chen, Haoxin Wang +2
A fundamental challenge of autonomous driving is maintaining the vehicle in the center of the lane by adjusting the steering angle. Recent advances leverage deep neural networks to…
A Contrastive Knowledge Transfer Framework for Model Compression and Transfer Learning
Kaiqi Zhao, Yitao Chen, Ming Zhao
Knowledge Transfer (KT) achieves competitive performance and is widely used for image classification tasks in model compression and transfer learning. Existing KT works transfer th…
Enabling Deep Learning on Edge Devices through Filter Pruning and Knowledge Transfer
Kaiqi Zhao, Yitao Chen, Ming Zhao
Deep learning models have introduced various intelligent applications to edge devices, such as image classification, speech recognition, and augmented reality. There is an increasi…