Wireless for Machine Learning - Hellstroem, Henrik; da Silva Jr., Jose Mairton B.; Amiri, Mohammad Mohammadi
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Offers an exhaustive review of the state-of-the-art wireless methods that are specifically designed to support Machine Learning (ML) services over distributed datasets. A comprehensive introduction to analog over-the-air computation and digital radio resource management optimized for ML is presented, and reviews are given of important works.

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Offers an exhaustive review of the state-of-the-art wireless methods that are specifically designed to support Machine Learning (ML) services over distributed datasets. A comprehensive introduction to analog over-the-air computation and digital radio resource management optimized for ML is presented, and reviews are given of important works.
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