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 ...

Microsoft’s second Fairwater campus in Atlanta showcases a new model for AI infrastructure, linking mega-sites into a unified, high-performance supercomputer capable of training and serving frontier ...