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  4. Over-the-Air Computation for Distributed Machine Learning and Consensus in Large Wireless Networks
 
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2022
Book Article
Title

Over-the-Air Computation for Distributed Machine Learning and Consensus in Large Wireless Networks

Abstract
We give an overview of the problem of Over-the-Air (OTA) computation and the currently available research, and of two important applications: Distributed consensus algorithms and distributed Machine Learning. For the latter, we specifically consider an application of OTA computation in Horizontal and Vertical Federated Learning. We then survey some of our own contributions to these fields, which include a scheme for analog Over-the-Air computation that works with a large class of fast-fading wireless channels, as well as applications to distributed consensus and Vertical Federated Learning. Moreover, we give an overview of our initial research on how Physical Layer Security can be applied to secure Over-the-Air computation against eavesdroppers.
Author(s)
Frey, Matthias
Bjelakovic, Igor  
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Stanczak, Slawomir  
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Mainwork
Compressed Sensing in Information Processing  
DOI
10.1007/978-3-031-09745-4_13
Language
English
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
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