Runxuan Tang

FedGLoRA: Grassmann-Manifold Federated Learning via Dual LoRA for Large EEG Models

Large EEG Models (LEMs) are drawing increasing attention in EEG, as large-scale pretraining yields transferable representations that improve generalization. As EEG research moves to real-world deployment, objectives and paradigms diversify, yielding increasingly heterogeneous and unevenly scaled dat