Yuru Liu

FedUP: Uncertainty-Aware Personalized Federated Learning via Probabilistic Prototypes

Furui Qi, Weishan Zhang, Lingzhao Meng, Yuru Liu et autres

Prototype-based federated learning enables efficient knowledge sharing by exchanging class prototypes rather than full model parameters. However, heterogeneous client data and limited local samples increase prototype estimation variance, making many client prototypes unreliable. Existing methods usually treat prototypes as deterministic point estimates …

cn (code pays fourni par la source)

OIAFed: All-in-One Federated Learning Framework

Tao Chen, Linbo Zhou, Baoyu Zhang, Yuru Liu et autres

cn (code pays fourni par la source)

A Brain Cognition-Driven Medical Robot Integrating Large and Small Models for Dynamic Medical Analysis

Daobin Luo, Dong Chen, Shiqi Hu, Yuru Liu et autres

cn (code pays fourni par la source)

An Adaptive Federated Service Evolution Framework for Industrial Operations Analytics Under Dynamic Participation

Daobin Luo, Yuru Liu, Weishan Zhang, Yuange Liu et autres

cn (code pays fourni par la source)

AntiTrap-FL: Local-Optimal-Trap-Resistant Efficient Federated Learning via Globally-Optimized Model Fusion

Qiao Qiao, Yuange Liu, Weishan Zhang, Daobin Luo et autres

cn (code pays fourni par la source)