Bibliographic Details

Main Authors:	Hellström, Henrik (Author), Silva, José Mairton B. da Jr (Author), Mohammadi Amiri, Mohammad (Author), Chen, Mingzhe (Author), Fodor, Viktoria (Author), Poor, H. Vincent 1951- (Author), Fischione, Carlo (Author)
Format:	Book
Language:	English
Published:	Boston ; Delft Now 2022
Series:	Foundations and trends in signal processing Volume 15, issue 4
Abstract:	This monograph gives an exhaustive review of the state-of-the-art wireless methods that are specifically designed to support ML services over distributed datasets. It gives a comprehensive introduction to these methods, reviews the most important works, highlights open problems, and discusses application scenarios Intro -- Introduction -- Related Work -- Notation and Organization -- Primer on Distributed Machine Learning -- Problem Formulation for Centralized Machine Learning -- Problem Formulation for Distributed Machine Learning -- Federated Learning -- Summary -- Analog Over-the-air Computation -- Primer -- Over-the-air Computation For Distributed Machine Learning -- Review of SISO Over-the-air Computation -- Review of MIMO Over-the-air Computation -- Digital Communications -- Primer -- Digital Communications for Distributed Machine Learning -- Review of Importance-aware Communications -- Review of Radio Resource Management for Federated Learning -- Open Problems -- Over-the-air Computation -- Digital Communications -- Problems Relevant to Analog and Digital Communications -- Applications -- Smart City -- Vehicular Communication -- Augmented and Virtual Reality -- Edge Caching -- Unmanned Aerial Vehicles -- Conclusions -- References
Item Description:	Description based on publisher supplied metadata and other sources
Physical Description:	115 Seiten
ISBN:	9781638280064