Xidong Wu

Orcid: 0000-0001-8796-4272

According to our database1, Xidong Wu authored at least 19 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Unbiased Watermark for Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Auto- Train-Once: Controller Network Guided Automatic Network Pruning from Scratch.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

On the Role of Server Momentum in Federated Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Leveraging Foundation Models to Improve Lightweight Clients in Federated Learning.
CoRR, 2023

Performance and Energy Consumption of Parallel Machine Learning Algorithms.
CoRR, 2023

Solving a Class of Non-Convex Minimax Optimization in Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Federated Conditional Stochastic Optimization.
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.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization.
Proceedings of the International Conference on Machine Learning, 2023

AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Faster Adaptive Federated Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Decentralized Riemannian Algorithm for Nonconvex Minimax Problems.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Distributed Dynamic Safe Screening Algorithms for Sparse Regularization.
CoRR, 2022

Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Fast Stochastic Recursive Momentum Methods for Imbalanced Data Mining.
Proceedings of the IEEE International Conference on Data Mining, 2022

2021
Efficient Mirror Descent Ascent Methods for Nonsmooth Minimax Problems.
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.
IET Commun., 2017

2011
QoS Monitoring and Troubleshooting of a Large Scale IPTV Deployment.
Proceedings of the 2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2011

IPTV System Design: An ISP's Perspective.
Proceedings of the 2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2011


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