Xidong Wu

According to our database, Xidong Wu authored at least 19 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 2024

On the Role of Server Momentum in Federated Learning.

Jianhui Sun, Xidong Wu, Heng Huang, Aidong Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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 Ravi Ganesh

CoRR, 2023

Unbiased Watermark for Large Language Models.

Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang

CoRR, 2023

Performance and Energy Consumption of Parallel Machine Learning Algorithms.

Xidong Wu, Preston Brazzle, Stephen Cahoon

CoRR, 2023

Solving a Class of Non-Convex Minimax Optimization in Federated Learning.

Xidong Wu, Jianhui Sun, Zhengmian Hu, Aidong Zhang, Heng Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Federated Conditional Stochastic Optimization.

Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining.

Xidong Wu, Zhengmian Hu, Jian Pei, Heng Huang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization.

Zhengmian Hu, Xidong Wu, Heng Huang

Proceedings of the International Conference on Machine Learning, 2023

AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization.

Feihu Huang, Xidong Wu, Zhengmian Hu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Faster Adaptive Federated Learning.

Xidong Wu, Feihu Huang, Zhengmian Hu, Heng Huang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Decentralized Riemannian Algorithm for Nonconvex Minimax Problems.

Xidong Wu, Zhengmian Hu, Heng Huang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Distributed Dynamic Safe Screening Algorithms for Sparse Regularization.

Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang

CoRR, 2022

Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization.

Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Fast Stochastic Recursive Momentum Methods for Imbalanced Data Mining.

Xidong Wu, Feihu Huang, Heng Huang

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Efficient Mirror Descent Ascent Methods for Nonsmooth Minimax Problems.

Feihu Huang, Xidong Wu, Heng Huang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2017

Compressive sensing-based coprime array direction-of-arrival estimation.

Chengwei Zhou, Yujie Gu, Yimin D. Zhang, Zhiguo Shi, Tao Jin, Xidong Wu

IET Commun., 2017

2011

QoS Monitoring and Troubleshooting of a Large Scale IPTV Deployment.

Xidong Wu, Zhengye Liu, Yali Liu, Menglin Liu, Charlie Chen-Yui Yang, Jin Wang

Proceedings of the 2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2011

IPTV System Design: An ISP's Perspective.

Yali Liu, Zhengye Liu, Xidong Wu, Jin Wang, Charlie Chen-Yui Yang

Proceedings of the 2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2011