Exploring Parameter-Efficient Fine-tuning for Improving Communication Efficiency in Federated Learning. - Guangyu Sun 004; Matías Mendieta; Taojiannan Yang; Chen Chen 001 (CoRR, 2022)

FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning. - Guangyu Sun 004; Matías Mendieta; Jun Luo 010; Shandong Wu; Chen Chen 001 (ICCV, 2023)

Exploring Parameter-Efficient Fine-Tuning to Enable Foundation Models in Federated Learning. - Guangyu Sun 004; Umar Khalid; Matías Mendieta; Pu Wang 001; Chen Chen 001 (IEEE Big Data, 2024)

Towards Multi-modal Transformers in Federated Learning. - Guangyu Sun 004; Matías Mendieta; Aritra Dutta; Xin Li 022; Chen Chen 001 (ECCV (15), 2024)

Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models. - Matías Mendieta; Guangyu Sun 004; Chen Chen 001 (WACV, 2025)