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A Demonstration of Over-the-Air Computation for Federated Edge Learning

2022-09-20 19:08:49
Alphan Sahin
arXiv_AI
     
Abstract

In this study, we propose a general-purpose synchronization method that allows a set of software-defined radios (SDRs) to transmit or receive any in-phase/quadrature data with precise timings while maintaining the baseband processing in the corresponding companion computers. The proposed method relies on the detection of a synchronization waveform in both receive and transmit directions and controlling the direct memory access blocks jointly with the processing system. By implementing this synchronization method on a set of low-cost SDRs, we demonstrate the performance of frequency-shift keying (FSK)-based majority vote (MV), i.e., an over-the-air computation scheme for federated edge learning, and introduce the corresponding procedures. Our experiment shows that the test accuracy can reach more than 95% for homogeneous and heterogeneous data distributions without using channel state information at the edge devices.

Abstract (translated)

URL

https://arxiv.org/abs/2209.09954

PDF

https://arxiv.org/pdf/2209.09954.pdf

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