ICSL’s paper “FedLoRA-AE: Federated End-to-End Physical-Layer Autoencoders with Low-Rank Per-Cell Adapters for 3GPP CDL Profiles,” co-authored with Dr. S. Ali Hassan (NUST) and collaborators, will be presented at IEEE GLOBECOM 2026’s Selected Areas in Communications: Machine Learning for Communications and Networking (SAC-MLCN) symposium.