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 ...
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