The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning

• URL: http://arxiv.org/abs/2312.03120v1
• Date: Tue, 5 Dec 2023 20:40:05 GMT
• Title: The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning
• Authors: Omer Subasi and Oceane Bel and Joseph Manzano and Kevin Barker
• Abstract summary: We provide a high-level overview for the latest advanced machine learning algorithms, applications, and frameworks. Our work serves as an introductory text to the vast field of modern machine learning.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: With the advance of the powerful heterogeneous, parallel and distributed computing systems and ever increasing immense amount of data, machine learning has become an indispensable part of cutting-edge technology, scientific research and consumer products. In this study, we present a review of modern machine and deep learning. We provide a high-level overview for the latest advanced machine learning algorithms, applications, and frameworks. Our discussion encompasses parallel distributed learning, deep learning as well as federated learning. As a result, our work serves as an introductory text to the vast field of modern machine learning.

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