Sarah A. Alkhodair

FedENC: Federated Adaptive CLIP Model via Energy Alignment and Neural Collapse

Federated Learning (FL) faces two major challenges when deploying large vision-language models such as contrastive language-image pretraining (CLIP) model, namely high computation/communication overhead and performance degradation due to data heterogeneity. To address these, we propose FedENC, a nov