Publications


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ESI Top 1% Highly Cited Paper in Computer Science & Engineering
  

Towards Personalized Federated Learning

A. Z. Tan, H. Yu, L. Cui & Q. Yang 
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2023. 
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Selected Publications


       
 
   
  

pFedMixF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation

Y. Zhang, H. Zhu, A.Z. Tan, D. Yu, L. Huang & H. Yu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. 

Federated class-incremental learning via weighted aggregation and distillation

F. Wu, A.Z. Tan, S. Feng, H. Yu, T. Deng, L. Zhao & Y. Chen
IEEE Internet of Things Journal (IEEE IoTJ), 2025. 

Advances and open challenges in federated learning with foundation models

C. Ren, H. Yu, H. Peng, X. Tang, B. Zhao, L. Yi, A. Z. Tan, Y. Gao, A. Li, X. Li, Z. li & Q. Yang.
IEEE Communications Surveys and Tutorials (IEEE COMST), 2025.

FL-CLIP: Bridging Plasticity and Stability in Pre-Trained Federated Class-Incremental Learning Models

A. Z. Tan, S. Feng & H. Yu
IEEE International Conference on Multimedia and Expo (IEEE ICME), 2024. 

General Federated Class-Incremental Learning with Lightweight Generative Replay

Y. Chen, A. Z. Tan, S. Feng, H. Yu, T. Deng, L. Zhao & F. Wu
IEEE Internet of Things Journal (IEEE IoTJ), 2024. 


Improving 3D Hand Pose Estimation with Synthetic RGB Image Enhancement Using RetinexNet and Dehazing

A. Z. Tan, B. Kwek, K. Anthony, V. Teh, Y. Yang, Q. H. Nguyen, B. P. Nguyen & M. C. Chua
Soft Computing: Biomedical and Related Applications, 2021. 
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