Ningxin He

According to our database, Ningxin He authored at least 10 papers between 2022 and 2025.

Collaborative distances:

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

2025

FedMMKT:Co-Enhancing a Server Text-to-Image Model and Client Task Models in Multi-Modal Federated Learning.

Ningxin He, Yang Liu, Wei Sun, Xiaozhou Ye, Ye Ouyang, Tiegang Gao, Zehui Zhang

CoRR, October, 2025

Cross-Modal Federated Learning among Unimodal Devices.

Yongheng Deng, Ningxin He, Xinyi Li, Fan Wu, Yaoxue Zhang, Ju Ren

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2025

SDASS: secure data auditing for sharing matrix based secret share cloud storage supporting data dynamics.

Gaopeng Zheng, Hang Gao, Ningxin He, Tiegang Gao

J. King Saud Univ. Comput. Inf. Sci., 2025

Communication-Efficient Adaptive Wavelet-Compressed Federated Learning for State of Health Prediction of Lithium-Ion Batteries in IoT Environments.

Ningxin He, Zehui Zhang, Tiegang Gao, Songsong Zhang, Weiwei Huo, Zuo Bin

IEEE Internet Things J., 2025

2024

Re_useVFL: Reuse of Parameters-Based Verifiable Federated Learning With Privacy Preservation Using Gradient Sparsification.

Ningxin He, Tiegang Gao, Chuan Zhou

IEEE J. Emerg. Sel. Topics Circuits Syst., December, 2024

2023

An efficient model for real-time wildfire detection in complex scenarios based on multi-head attention mechanism.

Xiaotian Wang, Zhongjie Pan, Hang Gao, Ningxin He, Tiegang Gao

J. Real Time Image Process., August, 2023

SVeriFL: Successive verifiable federated learning with privacy-preserving.

Hang Gao, Ningxin He, Tiegang Gao

Inf. Sci., April, 2023

Sea-YOLOv5s: A UAV image-based model for detecting objects in SeaDronesSee dataset.

Xiaotian Wang, Zhongjie Pan, Ningxin He, Tiegang Gao

J. Intell. Fuzzy Syst., 2023

Efficient Privacy-Preserving Federated Deep Learning for Network Intrusion of Industrial IoT.

Ningxin He, Zehui Zhang, Xiaotian Wang, Tiegang Gao

Int. J. Intell. Syst., 2023

2022

DetectPMFL: Privacy-Preserving Momentum Federated Learning Considering Unreliable Industrial Agents.

Zehui Zhang, Ningxin He, Qingdan Li, Kunshu Wang, Hang Gao, Tiegang Gao

IEEE Trans. Ind. Informatics, 2022