4 papers
AdaSTI: Conditional Diffusion Models with Adaptive Dependency Modeling for Spatio-Temporal Imputation
Yubo Yang, Yichen Zhu, Bo Jiang
Spatio-temporal data abounds in domain like traffic and environmental monitoring. However, it often suffers from missing values due to sensor malfunctions, transmission failures, e…
MAB-Based Channel Scheduling for Asynchronous Federated Learning in Non-Stationary Environments
Zhiyin Li, Yubo Yang, Tao Yang +3
Federated learning enables distributed model training across clients without raw data exchange, but in wireless implementations, frequent parameter updates cause high communication…
Efficient UAV Swarm-Based Multi-Task Federated Learning with Dynamic Task Knowledge Sharing
Yubo Yang, Tao Yang, Xiaofeng Wu +2
UAV swarms are widely used in emergency communications, area monitoring, and disaster relief. Coordinated by control centers, they are ideal for federated learning (FL) frameworks.…
UAV-Assisted Multi-Task Federated Learning with Task Knowledge Sharing
Yubo Yang, Tao Yang, Xiaofeng Wu +1
The rapid development of Unmanned aerial vehicles (UAVs) technology has spawned a wide variety of applications, such as emergency communications, regional surveillance, and disaste…