172 citations · 1.4k across the 82 of their papers we have counts for
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Edge Learning with Timeliness Constraints: Challenges and Solutions
Yuxuan Sun, Wenqi Shi, Xiufeng Huang +2
Future machine learning (ML) powered applications, such as autonomous driving and augmented reality, involve training and inference tasks with timeliness requirements and are commu…
Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning
Wenqi Shi, Sheng Zhou, Zhisheng Niu +2
In federated learning (FL), devices contribute to the global training by uploading their local model updates via wireless channels. Due to limited computation and communication res…
Distributed Task Replication for Vehicular Edge Computing: Performance Analysis and Learning-based Algorithm
Yuxuan Sun, Sheng Zhou, Zhisheng Niu
In a vehicular edge computing (VEC) system, vehicles can share their surplus computation resources to provide cloud computing services. The highly dynamic environment of the vehicu…
Urgency of Information for Context-Aware Timely Status Updates in Remote Control Systems
Xi Zheng, Sheng Zhou, Zhisheng Niu
As 5G and Internet-of-Things (IoT) are deeply integrated into vertical industries such as autonomous driving and industrial robotics, timely status update is crucial for remote mon…
Beyond Age: Urgency of Information for Timeliness Guarantee in Status Update Systems
Xi Zheng, Sheng Zhou, Zhisheng Niu
Timely status updating is crucial for future applications that involve remote monitoring and control, such as autonomous driving and Industrial Internet of Things (IIoT). Age of In…