Yun-Hin Chan

According to our database, Yun-Hin Chan authored at least 6 papers between 2023 and 2025.

Collaborative distances:

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

2025

LiteChain: A Lightweight Blockchain for Verifiable and Scalable Federated Learning in Massive Edge Networks.

Handi Chen, Rui Zhou, Yun-Hin Chan, Zhihan Jiang, Xianhao Chen, Edith C. H. Ngai

IEEE Trans. Mob. Comput., March, 2025

Exploiting features and logits in heterogeneous federated learning.

Yun-Hin Chan, Edith C. H. Ngai

Comput. Networks, 2025

Asynchronous and focal federated learning for skin lesion classification under local data scarcity and class imbalance.

Shichao Ma, Yun-Hin Chan, Edith C. H. Ngai, Joshua W. K. Ho

Comput. Methods Programs Biomed., 2025

2024

Synergizing Foundation Models and Federated Learning: A Survey.

Shenghui Li, Fanghua Ye, Meng Fang, Jiaxu Zhao, Yun-Hin Chan, Edith C. H. Ngai, Thiemo Voigt

CoRR, 2024

Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning.

Yun-Hin Chan, Rui Zhou, Running Zhao, Zhihan Jiang, Edith C. H. Ngai

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

FedIN: Federated Intermediate Layers Learning for Model Heterogeneity.

Yun-Hin Chan, Zhihan Jiang, Jing Deng, Edith C. H. Ngai

CoRR, 2023