2 papers
cs.IT2025
Communication-Pipelined Split Federated Learning for Foundation Model Fine-Tuning in UAV Networks
Zizhen Zhou, Ying-Chang Liang, Yanyu Cheng +1
Deploying foundation models (FMs) on uncrewed aerial vehicles (UAVs) promises broad ``low-altitude economy'' applications. Split federated learning (SFL)-based fine-tuning leverage…
cs.IT2025
User Association and Coordinated Beamforming in Cognitive Aerial-Terrestrial Networks: A Safe Reinforcement Learning Approach
Zizhen Zhou, Jungang Ge, Ying-Chang Liang
Cognitive aerial-terrestrial networks (CATNs) offer a solution to spectrum scarcity by sharing spectrum between aerial and terrestrial networks. However, aerial users (AUs) experie…