2 papers
cs.LG2025
Deep Neural ODE Operator Networks for PDEs
Ziqian Li, Kang Liu, Yongcun Song +2
Operator learning has emerged as a promising paradigm for developing efficient surrogate models to solve partial differential equations (PDEs). However, existing approaches often o…
cs.LG2024
FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning
Yongcun Song, Ziqi Wang, Enrique Zuazua
Federated learning (FL) is a promising framework for learning from distributed data while maintaining privacy. The development of efficient FL algorithms encounters various challen…