Wireless for Machine Learning : A Survey

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.

• | : Henrik Hellstroem, Jose Mairton B. da Silva Jr., Mohammad Mohammadi Amiri, Mingzhe Chen, Viktoria Fodor, H. Vincent Poor, Carlo Fischione
• | Publisher: now publishers Inc
• | Publication Date: Jun 09, 2022
• | Country of Publication: United States
• | Number of Pages: 124 pages
• | Language: Unknown
• | Binding: Paperback / softback
• | ISBN-10: 1638280061
• | ISBN-13: 9781638280064