ProfessorsProfessors of Xidian UniversityQingsong zhang

Qingsong zhang

Xidian University

H-index: 4

Asia-China

About Qingsong zhang

Qingsong zhang, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Xidian University, specializes in the field of Machine learning, optimization, federated learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning

Secure bilevel asynchronous vertical federated learning with backward updating

Faster stochastic quasi-Newton methods

Desirable companion for vertical federated learning: New zeroth-order gradient based algorithm

Asysqn: Faster vertical federated learning algorithms with better computation resource utilization

Qingsong zhang Information

University	Xidian University
Position	School of Electronic Engineering
Citations(all)	108
Citations(since 2020)	108
Cited By	1
hIndex(all)	4
hIndex(since 2020)	4
i10Index(all)	3
i10Index(since 2020)	3
Email	Access Email
University Profile Page	Xidian University
Google Scholar	View Google Scholar Profile

Qingsong zhang Skills & Research Interests

Machine learning

optimization

federated learning

Top articles of Qingsong zhang

Title	Journal	Author(s)	Publication Date
A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning	Advances in Neural Information Processing Systems	Ganyu Wang Bin Gu Qingsong Zhang Xiang Li Boyu Wang ...	2024/2/13
Secure bilevel asynchronous vertical federated learning with backward updating	Proceedings of the AAAI Conference on Artificial Intelligence	Qingsong Zhang Bin Gu Cheng Deng Heng Huang	2021/5/18
Faster stochastic quasi-Newton methods	IEEE Transactions on Neural Networks and Learning Systems	Qingsong Zhang Feihu Huang Cheng Deng Heng Huang	2021/3/5
Desirable companion for vertical federated learning: New zeroth-order gradient based algorithm		Qingsong Zhang Bin Gu Zhiyuan Dang Cheng Deng Heng Huang	2021/10/26
Asysqn: Faster vertical federated learning algorithms with better computation resource utilization		Qingsong Zhang Bin Gu Cheng Deng Songxiang Gu Liefeng Bo ...	2021/8/14