123 citations · 367 across the 19 of their papers we have counts for
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cs.DC2020★ 1 cited
Optimizing Resource-Efficiency for Federated Edge Intelligence in IoT Networks
Yong Xiao, Yingyu Li, Guangming Shi +1
This paper studies an edge intelligence-based IoT network in which a set of edge servers learn a shared model using federated learning (FL) based on the datasets uploaded from a mu…
cs.DC2020
Minimizing Age-of-Information for Fog Computing-supported Vehicular Networks with Deep Q-learning
Maohong Chen, Yong Xiao, Qiang Li +1
Connected vehicular network is one of the key enablers for next generation cloud/fog-supported autonomous driving vehicles. Most connected vehicular applications require frequent s…
cs.DC2020★ 2 cited
Deep Reinforcement Learning for Fog Computing-based Vehicular System with Multi-operator Support
Xiaohan Zhang, Yong Xiao, Qiang Li +1
This paper studies the potential performance improvement that can be achieved by enabling multi-operator wireless connectivity for cloud/fog computing-connected vehicular systems.…