66 citations · 70 across the 4 of their papers we have counts for
4 papers
BEFL: Balancing Energy Consumption in Federated Learning for Mobile Edge IoT
Zehao Ju, Tongquan Wei, Fuke Shen
Federated Learning (FL) is a privacy-preserving distributed learning paradigm designed to build a highly accurate global model. In Mobile Edge IoT (MEIoT), the training and communi…
FDA3 : Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications
Yunfei Song, Tian Liu, Tongquan Wei +3
Along with the proliferation of Artificial Intelligence (AI) and Internet of Things (IoT) techniques, various kinds of adversarial attacks are increasingly emerging to fool Deep Ne…
A Machine Learning Based Forwarding Algorithm Over Cognitive Radios in Wireless Mesh Networks
Jianjun Yang, Ju Shen, Ping Guo +2
Wireless Mesh Networks improve their capacities by equipping mesh nodes with multi-radios tuned to non-overlapping channels. Hence the data forwarding between two nodes has multipl…
Location Aided Energy Balancing Strategy in Green Cellular Networks
Jianjun Yang, Bryson Payne, Markus Hitz +3
Most cellular network communication strategies are focused on data traffic scenarios rather than energy balance and efficient utilization. Thus mobile users in hot cells may suffer…