Ping Xu

According to our database, Ping Xu authored at least 17 papers between 2017 and 2025.

Collaborative distances:

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

2025

DFedReweighting: A Unified Framework for Objective-Oriented Reweighting in Decentralized Federated Learning.

Kaichuang Zhang, Wei Yin, Jinghao Yang, Ping Xu

CoRR, December, 2025

Robust Distributed Learning Against Both Distributional Shifts and Byzantine Attacks.

Guanqiang Zhou, Ping Xu, Yue Wang, Zhi Tian

IEEE Trans. Neural Networks Learn. Syst., May, 2025

Towards Trustworthy Federated Learning.

Alina Basharat, Yijun Bian, Ping Xu, Zhi Tian

CoRR, March, 2025

Distributional and Byzantine Robust Decentralized Federated Learning.

Kaichuang Zhang, Ping Xu, Zhi Tian

Proceedings of the 59th Annual Conference on Information Sciences and Systems, 2025

2024

QC-ODKLA: Quantized and Communication- Censored Online Decentralized Kernel Learning via Linearized ADMM.

Ping Xu, Yue Wang, Xiang Chen, Zhi Tian

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Approximating Discrimination Within Models When Faced With Several Non-Binary Sensitive Attributes.

Yijun Bian, Yujie Luo, Ping Xu

CoRR, 2024

Communication-Efficient Decentralized Dynamic Kernel Learning.

Ping Xu, Yue Wang, Xiang Chen, Zhi Tian

Proceedings of the IEEE International Conference on Acoustics, 2024

TS-FedNBS: Federated Edge Computing with Enhanced Robustness.

Alina Basharat, Runhua Wang, Ping Xu

Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2024

2023

H-nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous Datasets.

Guanqiang Zhou, Ping Xu, Yue Wang, Zhi Tian

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

2022

A class of distributed event-triggered average consensus algorithms for multi-agent systems.

Ping Xu, Cameron Nowzari, Zhi Tian

Int. J. Control, 2022

Deep Kernel Learning Networks with Multiple Learning Paths.

Ping Xu, Yue Wang, Xiang Chen, Zhi Tian

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

COKE: Communication-Censored Decentralized Kernel Learning.

Ping Xu, Yue Wang, Xiang Chen, Zhi Tian

J. Mach. Learn. Res., 2021

2020

DC-CNN: Computational Flow Redefinition for Efficient CNN through Structural Decoupling.

Fuxun Yu, Zhuwei Qin, Di Wang, Ping Xu, Chenchen Liu, Zhi Tian, Xiang Chen

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019

Coke: Communication-Censored Kernel Learning Via Random Features.

Ping Xu, Zhi Tian, Zhe Zhang, Yue Wang

Proceedings of the IEEE Data Science Workshop, 2019

2018

An Energy-Efficient Distributed Average Consensus Scheme via Infrequent Communication.

Ping Xu, Zhi Tian, Yue Wang

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

A class of event-triggered coordination algorithms for multi-agent systems on weight-balanced digraphs.

Ping Xu, Cameron Nowzari, Zhi Tian

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Efficient channel estimation for massive MIMO systems via truncated two-dimensional atomic norm minimization.

Yue Wang, Ping Xu, Zhi Tian

Proceedings of the IEEE International Conference on Communications, 2017