Abstract: Federated learning (FL) enables clients to learn a machine learning model collaboratively without sharing their private local data to the server. However, due to its distributed structure, ...

Johns Hopkins University will begin construction on two new Homewood campus academic buildings for the Data Science and Artificial Intelligence Institute in early 2026. The work necessitates the ...

Abstract: Class Incremental Learning (CIL) aims to enable models to learn new classes sequentially while retaining knowledge of previous ones. Although current methods have alleviated catastrophic ...