Kaiming Zhu

According to our database, Kaiming Zhu authored at least 7 papers between 2023 and 2026.

Collaborative distances:

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

2026

Robust multimodal federated learning for non-IID multimodal data with incompleteness.

Songcan Yu, Kaiming Zhu, Feiyuan Liang, Junbo Wang, Krishna Kant, Ling Yin

Future Gener. Comput. Syst., 2026

2024

Spatial-Spectral Total Variation-Regularized Low-Rank Tensor Representation for Hyperspectral Anomaly Detection.

ZhiGuo Du, Xingyu Chen, Minghao Jia, Xiaoying Qiu, Zelong Chen, Kaiming Zhu

J. Circuits Syst. Comput., August, 2024

LDS-FL: Loss Differential Strategy Based Federated Learning for Privacy Preserving.

Taiyu Wang, Qinglin Yang, Kaiming Zhu, Junbo Wang, Chunhua Su, Kento Sato

IEEE Trans. Inf. Forensics Secur., 2024

FedSD: Cross-Heterogeneous Federated Learning Based on Self-distillation.

Haiwen Chen, Songcan Yu, Shupeng Zhao, Junbo Wang, Kaiming Zhu, Kento Sato

Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

2023

Collaborative Machine Learning: Schemes, Robustness, and Privacy.

Junbo Wang, Amitangshu Pal, Qinglin Yang, Krishna Kant, Kaiming Zhu, Song Guo

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Correction to: Loss-based differentiation strategy for privacy preserving of social robots.

Qinglin Yang, Taiyu Wang, Kaiming Zhu, Junbo Wang, Yu Han, Chunhua Su

J. Supercomput., 2023

Loss-based differentiation strategy for privacy preserving of social robots.

Qinglin Yang, Taiyu Wang, Kaiming Zhu, Junbo Wang, Yu Han, Chunhua Su

J. Supercomput., 2023