Fei Tang

Random Forest Missing Data Algorithms

2017 · arXiv (Cornell University)

Random forest (RF) missing data algorithms are an attractive approach for dealing with missing data. They have the desirable properties of being able to handle mixed types of missing data, they are adaptive to interactions …

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 …