Yun Lu

Application of Metaheuristic Approaches for the Variable Selection Problem

2022 · International Journal of Applied Metaheuristic Computing

Variable selection is an old topic from regression models. Besides many conventional approaches, some metaheuristic approaches from the realm of optimization such as GA (Genetic Algorithm) or simulated annealing have been suggested to date. These …

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 …