Zhou Tan

According to our database, Zhou Tan authored at least 14 papers between 2014 and 2026.

Collaborative distances:

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

2026

Toward Federated Learning Against Noisy Clients via CLIP-Guided Prototypes.

Zhou Tan, De Li, Jianping Cai, Yirui Huang, Chunpei Li, Ximeng Liu

IEEE Trans. Big Data, April, 2026

SLDP-LoRA: A Privacy-Preserving Split Learning Framework With Low-Rank Adaptation.

Yirui Huang, Jia-Li Yin, Zhou Tan, Qiuxiang Wang, Ximeng Liu

IEEE Trans. Netw. Sci. Eng., 2026

DoBlock: Blocking Malicious Association Propagation for Backdoor-Robust Federated Learning Under Domain Skew.

Zhou Tan, De Li, Yirui Huang, Duanshu Fang, Jia-Li Yin, Xiaolei Liu, Songze Li, Shouling Ji

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

FedPD: Defending federated prototype learning against backdoor attacks.

Zhou Tan, Jianping Cai, De Li, Puwei Lian, Ximeng Liu, Yan Che

Neural Networks, 2025

FedUNL: Utilizing Noisy Labels for Improved Robustness in Federated Learning.

Cheng Chen, Zhou Tan, Ziyun Lin, Ximeng Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

FeatShield: Isolating Malicious Feature Extractors for Backdoor-Robust Federated Learning.

Zhou Tan, De Li, Yirui Huang, Jia-Li Yin, Ximeng Liu

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

FedRog: Robust Federated Graph Classification for Strong Heterogeneity and High-Noise Scenarios.

De Li, Zhou Tan, Qiyu Li, Zeming Gan, Tiange Xia, Jinyan Wang, Xianxian Li

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Achieving Zero-Glance Unlearning with Data-Free Inversion and Selective Parameters Suppression.

Puwei Lian, Xiao Ke, Zhou Tan, Jianping Cai, Ximeng Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

FedMKD: Personalized Federated Learning with Memory Knowledge Distillation.

Tianjia Lin, Zhou Tan, Ximeng Liu

Proceedings of the IEEE International Conference on Communications, 2025

2024

FedRGL: Robust Federated Graph Learning for Label Noise.

De Li, Haodong Qian, Qiyu Li, Zhou Tan, Zemin Gan, Jinyan Wang, Xianxian Li

CoRR, 2024

2023

Clustered Federated Learning with Inference Hash Codes Based Local Sensitive Hashing.

Zhou Tan, Ximeng Liu, Yan Che, Yuyang Wang

Proceedings of the Information Security and Cryptology - 19th International Conference, 2023

2021

Adaptive Clipping Bound of Deep Learning with Differential Privacy.

Yuhang Hu, De Li, Zhou Tan, Xianxian Li, Jinyan Wang

Proceedings of the 20th IEEE International Conference on Trust, 2021

2020

Differential Privacy Preservation in Interpretable Feedforward-Designed Convolutional Neural Networks.

De Li, Jinyan Wang, Zhou Tan, Xianxian Li, Yuhang Hu

Proceedings of the 19th IEEE International Conference on Trust, 2020

2014

CSF protein dynamic driver network: At the crossroads of brain tumorigenesis.

Changlin Fu, Zhou Tan, Rui Liu, Shiying Hao, Zhen Li, Pei Chen, Taichang Jang, Milton Merchant, John C. Whitin, Oxford Wang, Minyi Guo, Harvey J. Cohen, Lawrence Recht, Xuefeng Bruce Ling

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014