2 papers
cs.LG2025
Fundamental Limits of Deep Learning-Based Binary Classifiers Trained with Hinge Loss
Tilahun M. Getu, Georges Kaddoum, M. Bennis
Although deep learning (DL) has led to several breakthroughs in many disciplines, the fundamental understanding on why and how DL is empirically successful remains elusive. To atta…
cs.NI2025
A Multi-Agent DRL-Based Framework for Optimal Resource Allocation and Twin Migration in the Multi-Tier Vehicular Metaverse
Nahom Abishu Hayla, A. Mohammed Seid, Aiman Erbad +3
Although multi-tier vehicular Metaverse promises to transform vehicles into essential nodes -- within an interconnected digital ecosystem -- using efficient resource allocation and…