43 citations · 138 across the 29 of their papers we have counts for
10 papers · 1 filter
A Grouping-based Scheduler for Efficient Channel Utilization under Age of Information Constraints
Lehan Wang, Jingzhou Sun, Yuxuan Sun +2
We consider a status information updating system where a fusion center collects the status information from a large number of sources and each of them has its own age of informatio…
Age of Information Guaranteed Scheduling for Asynchronous Status Updates in Collaborative Perception
Lehan Wang, Jingzhou Sun, Yuxuan Sun +2
We consider collaborative perception (CP) systems where a fusion center monitors various regions by multiple sources. The center has different age of information (AoI) constraints…
Time-Correlated Sparsification for Efficient Over-the-Air Model Aggregation in Wireless Federated Learning
Yuxuan Sun, Sheng Zhou, Zhisheng Niu +1
Federated edge learning (FEEL) is a promising distributed machine learning (ML) framework to drive edge intelligence applications. However, due to the dynamic wireless environments…
Online V2X Scheduling for Raw-Level Cooperative Perception
Yukuan Jia, Ruiqing Mao, Yuxuan Sun +2
Cooperative perception of connected vehicles comes to the rescue when the field of view restricts stand-alone intelligence. While raw-level cooperative perception preserves most in…
Energy-Aware Analog Aggregation for Federated Learning with Redundant Data
Yuxuan Sun, Sheng Zhou, Deniz Gündüz
Federated learning (FL) enables workers to learn a model collaboratively by using their local data, with the help of a parameter server (PS) for global model aggregation. The high…
Heterogeneous Coded Computation across Heterogeneous Workers
Yuxuan Sun, Junlin Zhao, Sheng Zhou +1
Coded distributed computing framework enables large-scale machine learning (ML) models to be trained efficiently in a distributed manner, while mitigating the straggler effect. In…
Adaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems
Yuxuan Sun, Xueying Guo, Jinhui Song +4
The vehicular edge computing (VEC) system integrates the computing resources of vehicles, and provides computing services for other vehicles and pedestrians with task offloading. H…
Task Replication for Vehicular Edge Computing: A Combinatorial Multi-Armed Bandit based Approach
Yuxuan Sun, Jinhui Song, Sheng Zhou +2
In vehicular edge computing (VEC) system, some vehicles with surplus computing resources can provide computation task offloading opportunities for other vehicles or pedestrians. Ho…
Learning-Based Task Offloading for Vehicular Cloud Computing Systems
Yuxuan Sun, Xueying Guo, Sheng Zhou +3
Vehicular cloud computing (VCC) is proposed to effectively utilize and share the computing and storage resources on vehicles. However, due to the mobility of vehicles, the network…
EMM: Energy-Aware Mobility Management for Mobile Edge Computing in Ultra Dense Networks
Yuxuan Sun, Sheng Zhou, Jie Xu
Merging mobile edge computing (MEC) functionality with the dense deployment of base stations (BSs) provides enormous benefits such as a real proximity, low latency access to comput…