10 citations · 31 across the 22 of their papers we have counts for
5 papers · 1 filter
Design and Optimization of Hierarchical Gradient Coding for Distributed Learning at Edge Devices
Weiheng Tang, Jingyi Li, Lin Chen +1
Edge computing has recently emerged as a promising paradigm to boost the performance of distributed learning by leveraging the distributed resources at edge nodes. Architecturally,…
A3D: Adaptive, Accurate, and Autonomous Navigation for Edge-Assisted Drones
Liekang Zeng, Haowei Chen, Daipeng Feng +2
Accurate navigation is of paramount importance to ensure flight safety and efficiency for autonomous drones. Recent research starts to use Deep Neural Networks to enhance drone nav…
Real-Time High-Resolution Pedestrian Detection in Crowded Scenes via Parallel Edge Offloading
Hao Wang, Hao Bao, Liekang Zeng +2
To identify dense and small-size pedestrians in surveillance systems, high-resolution cameras are widely deployed, where high-resolution images are captured and delivered to off-th…
HiFlash: Communication-Efficient Hierarchical Federated Learning with Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association
Qiong Wu, Xu Chen, Tao Ouyang +4
Federated learning (FL) is a promising paradigm that enables collaboratively learning a shared model across massive clients while keeping the training data locally. However, for ma…
Evolutionarily Stable Spectrum Access
Xu Chen, Jianwei Huang
In this paper, we design distributed spectrum access mechanisms with both complete and incomplete network information. We propose an evolutionary spectrum access mechanism with com…