Xuyang Wu

According to our database, Xuyang Wu authored at least 21 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

From promise to practice: realizing high-performance decentralized training.

Zesen Wang, Jiaojiao Zhang, Xuyang Wu, Mikael Johansson

CoRR, 2024

Achieving violation-free distributed optimization under coupling constraints.

Changxin Liu, Xiao Tan, Xuyang Wu, Dimos V. Dimarogonas, Karl Henrik Johansson

CoRR, 2024

2023

A Fenchel dual gradient method enabling regularization for nonsmooth distributed optimization over time-varying networks.

Xuyang Wu, Kin Cheong Sou, Jie Lu

Optim. Methods Softw., July, 2023

Distributed Optimization With Coupling Constraints.

Xuyang Wu, He Wang, Jie Lu

IEEE Trans. Autom. Control., March, 2023

A Unifying Approximate Method of Multipliers for Distributed Composite Optimization.

Xuyang Wu, Jie Lu

IEEE Trans. Autom. Control., 2023

Asynchronous Distributed Optimization with Delay-free Parameters.

Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson

CoRR, 2023

Distributed safe resource allocation using barrier functions.

Xuyang Wu, Sindri Magnússon, Mikael Johansson

Autom., 2023

Delay-agnostic Asynchronous Coordinate Update Algorithm.

Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson

Proceedings of the International Conference on Machine Learning, 2023

Delay-Agnostic Asynchronous Distributed Optimization.

Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Delay-Adaptive Step-sizes for Asynchronous Learning.

Xuyang Wu, Sindri Magnússon, Hamid Reza Feyzmahdavian, Mikael Johansson

Proceedings of the International Conference on Machine Learning, 2022

Optimal convergence rates of totally asynchronous optimization.

Xuyang Wu, Sindri Magnússon, Hamid Reza Feyzmahdavian, Mikael Johansson

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Decentralized Approximate Newton Methods for Convex Optimization on Networked Systems.

Hejie Wei, Zhihai Qu, Xuyang Wu, Hao Wang, Jie Lu

IEEE Trans. Control. Netw. Syst., 2021

A Second-Order Proximal Algorithm for Consensus Optimization.

Xuyang Wu, Zhihai Qu, Jie Lu

IEEE Trans. Autom. Control., 2021

A New Family of Feasible Methods for Distributed Resource Allocation.

Xuyang Wu, Sindri Magnússon, Mikael Johansson

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Distributed Optimization Over Time-Varying Networks With Minimal Connectivity.

Xuyang Wu, Jie Lu

IEEE Control. Syst. Lett., 2020

A Distributed Proximal Primal-Dual Algorithm for Nonsmooth Optimization with Coupling Constraints.

Xuyang Wu, He Wang, Jie Lu

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Fenchel Dual Gradient Methods for Distributed Convex Optimization Over Time-Varying Networks.

Xuyang Wu, Jie Lu

IEEE Trans. Autom. Control., 2019

Improved Convergence Rates of P-EXTRA for Non-smooth Distributed optimization.

Xuyang Wu, Jie Lu

Proceedings of the 15th IEEE International Conference on Control and Automation, 2019

2018

An Approximately-Zero-Gradient-Sum Algorithm for Consensus Optimization.

Hejie Wei, Zhihai Qu, Xuyang Wu, Hao Wang, Jie Lu

Proceedings of the 15th International Conference on Control, 2018

Distributed Fenchel Dual Gradient Methods Enabling a Smoothing Technique for Nonsmooth Optimization.

Xuyang Wu, Kin Cheong Sou, Jie Lu

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Deterministic coordinate descent algorithms for smooth convex optimization.

Xuyang Wu, Jie Lu

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017