Wu, Xidong

12 publications

CVPR 2024 Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch Xidong Wu, Shangqian Gao, Zeyu Zhang, Zhenzhen Li, Runxue Bao, Yanfu Zhang, Xiaoqian Wang, Heng Huang

AAAI 2024 On the Role of Server Momentum in Federated Learning Jianhui Sun, Xidong Wu, Heng Huang, Aidong Zhang

ICLR 2024 Unbiased Watermark for Large Language Models Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang

AISTATS 2023 AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization Feihu Huang, Xidong Wu, Zhengmian Hu

ICML 2023 Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization Zhengmian Hu, Xidong Wu, Heng Huang

AAAI 2023 Decentralized Riemannian Algorithm for Nonconvex Minimax Problems Xidong Wu, Zhengmian Hu, Heng Huang

AAAI 2023 Faster Adaptive Federated Learning Xidong Wu, Feihu Huang, Zhengmian Hu, Heng Huang

NeurIPS 2023 Federated Conditional Stochastic Optimization Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang

NeurIPSW 2023 Leveraging Foundation Models to Improve Lightweight Clients in Federated Learning Xidong Wu, Wan-Yi Lin, Devin Willmott, Filipe Condessa, Yufei Huang, Zhenzhen Li, Madan Ganesh

NeurIPS 2023 Solving a Class of Non-Convex Minimax Optimization in Federated Learning Xidong Wu, Jianhui Sun, Zhengmian Hu, Aidong Zhang, Heng Huang

IJCAI 2022 Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang

NeurIPS 2021 Efficient Mirror Descent Ascent Methods for Nonsmooth Minimax Problems Feihu Huang, Xidong Wu, Heng Huang