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

EPFL researchers have developed new software—now spun-off into a start-up—that eliminates the need for data to be sent to third-party cloud services when AI is used to complete a task. This could ...

Abstract: Dear Editor, Through distributed machine learning, multi-UAV systems can achieve global optimization goals without a centralized server, such as optimal target tracking, by leveraging local ...

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 ...