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 ...