Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...

Abstract: Distributed Collaborative Machine Learning (DCML) enables collaborative model training without the need to reveal or share datasets. However, its implementation incurs complexities in ...