2 papers
eess.SP2026
Discovery of unobservable parameters via physical embedding
Le Cheng, Xiaoran Liu, Lingjin Kong +7
Recovering a source signal from indirect measurements often requires estimating latent parameters, such as wireless channel states or MRI coil sensitivities, that cannot be directl…
cs.DC2026
Device Association and Resource Allocation for Hierarchical Split Federated Learning in Space-Air-Ground Integrated Network
Haitao Zhao, Xiaoyu Tang, Bo Xu +2
6G facilitates deployment of Federated Learning (FL) in the Space-Air-Ground Integrated Network (SAGIN), yet FL confronts challenges such as resource constrained and unbalanced dat…