3 papers
cs.IT2025
Straggler-Resilient Federated Learning over A Hybrid Conventional and Pinching Antenna Network
Bibo Wu, Fang Fang, Ming Zeng +1
Leveraging pinching antennas in wireless network enabled federated learning (FL) can effectively mitigate the common "straggler" issue in FL by dynamically establishing strong line…
cs.LG2025
Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems
Bibo Wu, Fang Fang, Xianbin Wang
Federated Learning (FL) has gained significant attention in recent years due to its distributed nature and privacy preserving benefits. However, a key limitation of conventional FL…
cs.LG2025
Stackelberg Game Based Performance Optimization in Digital Twin Assisted Federated Learning over NOMA Networks
Bibo Wu, Fang Fang, Xianbin Wang
Despite the advantage of preserving data privacy, federated learning (FL) still suffers from the straggler issue due to the limited computing resources of distributed clients and t…