Yunpeng Xiao

A Cross-Domain Recommendation Model Based on Asymmetric Vertical Federated Learning and Heterogeneous Representation

2025 · IEEE Transactions on Emerging Topics in Computational Intelligence

Cross-domain recommendation meets the personalized needs of users by integrating user preference features from different fields. However, the current cross-domain recommendation algorithm needs to be further strengthened in terms of privacy protection. This paper proposes …

Knowledge Sharing Enhanced Clustered Federated Learning for Heterogeneous Client Data

2025 · IEEE Internet of Things Journal

Clustered Federated Learning (CFL) is a machine learning paradigm that balances local and global training to address limited local data and reduce the negative effects of data heterogeneity on the global model. However, data heterogeneity …