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Xidong Wu
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2020 – today
- 2024
- [c15]Jianhui Sun, Xidong Wu, Heng Huang, Aidong Zhang:
On the Role of Server Momentum in Federated Learning. AAAI 2024: 15164-15172 - [c14]Xidong Wu, Shangqian Gao, Zeyu Zhang, Zhenzhen Li, Runxue Bao, Yanfu Zhang, Xiaoqian Wang, Heng Huang:
Auto- Train-Once: Controller Network Guided Automatic Network Pruning from Scratch. CVPR 2024: 16163-16173 - [c13]Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang:
Unbiased Watermark for Large Language Models. ICLR 2024 - [i11]Xidong Wu, Shangqian Gao, Zeyu Zhang, Zhenzhen Li, Runxue Bao, Yanfu Zhang, Xiaoqian Wang, Heng Huang:
Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch. CoRR abs/2403.14729 (2024) - 2023
- [c12]Xidong Wu, Zhengmian Hu, Heng Huang:
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems. AAAI 2023: 10370-10378 - [c11]Xidong Wu, Feihu Huang, Zhengmian Hu, Heng Huang:
Faster Adaptive Federated Learning. AAAI 2023: 10379-10387 - [c10]Feihu Huang, Xidong Wu, Zhengmian Hu:
AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization. AISTATS 2023: 2365-2389 - [c9]Zhengmian Hu, Xidong Wu, Heng Huang:
Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization. ICML 2023: 13652-13678 - [c8]Xidong Wu, Zhengmian Hu, Jian Pei, Heng Huang:
Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining. KDD 2023: 2648-2659 - [c7]Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang:
Federated Conditional Stochastic Optimization. NeurIPS 2023 - [c6]Xidong Wu, Jianhui Sun, Zhengmian Hu, Aidong Zhang, Heng Huang:
Solving a Class of Non-Convex Minimax Optimization in Federated Learning. NeurIPS 2023 - [i10]Xidong Wu, Zhengmian Hu, Heng Huang:
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems. CoRR abs/2302.03825 (2023) - [i9]Xidong Wu, Preston Brazzle, Stephen Cahoon:
Performance and Energy Consumption of Parallel Machine Learning Algorithms. CoRR abs/2305.00798 (2023) - [i8]Xidong Wu, Zhengmian Hu, Jian Pei, Heng Huang:
Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining. CoRR abs/2308.03035 (2023) - [i7]Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang:
Federated Conditional Stochastic Optimization. CoRR abs/2310.02524 (2023) - [i6]Xidong Wu, Jianhui Sun, Zhengmian Hu, Aidong Zhang, Heng Huang:
Solving a Class of Non-Convex Minimax Optimization in Federated Learning. CoRR abs/2310.03613 (2023) - [i5]Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang:
Unbiased Watermark for Large Language Models. CoRR abs/2310.10669 (2023) - [i4]Xidong Wu, Wan-Yi Lin, Devin Willmott, Filipe Condessa, Yufei Huang, Zhenzhen Li, Madan Ravi Ganesh:
Leveraging Foundation Models to Improve Lightweight Clients in Federated Learning. CoRR abs/2311.08479 (2023) - [i3]Jianhui Sun, Xidong Wu, Heng Huang, Aidong Zhang:
On the Role of Server Momentum in Federated Learning. CoRR abs/2312.12670 (2023) - 2022
- [c5]Xidong Wu, Feihu Huang, Heng Huang:
Fast Stochastic Recursive Momentum Methods for Imbalanced Data Mining. ICDM 2022: 578-587 - [c4]Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang:
Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization. IJCAI 2022: 1916-1922 - [i2]Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang:
Distributed Dynamic Safe Screening Algorithms for Sparse Regularization. CoRR abs/2204.10981 (2022) - [i1]Xidong Wu, Feihu Huang, Zhengmian Hu, Heng Huang:
Faster Adaptive Federated Learning. CoRR abs/2212.00974 (2022) - 2021
- [c3]Feihu Huang, Xidong Wu, Heng Huang:
Efficient Mirror Descent Ascent Methods for Nonsmooth Minimax Problems. NeurIPS 2021: 10431-10443
2010 – 2019
- 2017
- [j1]Chengwei Zhou, Yujie Gu, Yimin D. Zhang, Zhiguo Shi, Tao Jin, Xidong Wu:
Compressive sensing-based coprime array direction-of-arrival estimation. IET Commun. 11(11): 1719-1724 (2017) - 2011
- [c2]Xidong Wu, Zhengye Liu, Yali Liu, Menglin Liu, Charlie Chen-Yui Yang, Jin Wang:
QoS Monitoring and Troubleshooting of a Large Scale IPTV Deployment. CyberC 2011: 198-205 - [c1]Yali Liu, Zhengye Liu, Xidong Wu, Jin Wang, Charlie Chen-Yui Yang:
IPTV System Design: An ISP's Perspective. CyberC 2011: 234-240
Coauthor Index
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last updated on 2024-10-22 20:17 CEST by the dblp team
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