As a promising distributed machine learning paradigm, Federated Learning (FL) has
attracted increasing attention to deal with data silo problems without compromising user …

Recently, deep learning models have been widely applied in program understanding tasks,
and these models achieve state-of-the-art results on many benchmark datasets. A major …

Hierarchical Federated Edge Learning (HFEL) is a promising and efficient framework,
providing privacy preservation, which aims to address the issue of limited resources and …