2 papers
cs.LG2026
FedOBP: Federated Optimal Brain Personalization through Cloud-Edge Element-wise Decoupling
Xingyan Chen, Tian Du, Changqiao Xu +4
Federated Learning (FL) faces challenges from client data heterogeneity and resource-constrained mobile devices, which can degrade model accuracy. Personalized Federated Learning (…
cs.LG2026
SCAR: State-Space Compression for Scalable AI-Based Network Management of Vehicular Services
Ioan-Sorin Comsa, Purav Shah, Karthik Vaidhyanathan +6
The increasing demand for connected vehicular services poses significant challenges for AI-based network and service management due to the high volume and rapid variability of netw…