Distributed Systems

Comparative Analysis of Three Distributed Machine Learning Platforms

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Comparative Analysis of Three Distributed Machine Learning Platforms

Selected from muratbuffalo Author: Murat Demirbas Translated by Machine Heart Contributors: Panda Distributed machine learning is a major research direction in the field of machine learning. Recently, Professor Murat Demirbas from the State University of New York at Buffalo, along with two of his students, published a paper comparing existing distributed machine learning platforms, introducing … Read more

Dynamic Localization of Spatio-Temporal Graph Neural Networks

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Dynamic Localization of Spatio-Temporal Graph Neural Networks

Spatio-temporal data is the foundation of many intelligent applications, revealing the causal relationships between measurements at a specific location and historical data from the same or other locations. In this context, Adaptive Spatio-Temporal Graph Neural Networks (ASTGNNs) have emerged as a powerful tool for modeling these dependencies, particularly through data-driven approaches rather than predefined spatial … Read more