Edge computing is reshaping machine management beyond asset tracking through real-time monitoring and distributed operations.

Abstract: Distributed computing methods play a vital role in scalable machine learning as they divide computations across multiple nodes to handle large-scale tasks efficiently. However, maintaining ...

Abstract: This paper explores the multi-access distributed computing (MADC) model, a novel distributed computing framework where mapper and reducer nodes are distinct entities. Unlike traditional ...

Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...

Georgia Tech researchers have created a new AI model for decision-focused learning (DFL), called Diffusion-DFL. Recent tests ...