43 citations · 138 across the 29 of their papers we have counts for
4 papers · 1 filter
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…
Exploiting Moving Intelligence: Delay-Optimized Computation Offloading in Vehicular Fog Networks
Sheng Zhou, Yuxuan Sun, Zhiyuan Jiang +1
Future vehicles will have rich computing resources to support autonomous driving and be connected by wireless technologies. Vehicular fog networks (VeFN) have thus emerged to enabl…
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…