论文标题
联合边缘学习的空中计算的演示
A Demonstration of Over-the-Air Computation for Federated Edge Learning
论文作者
论文摘要
在这项研究中，我们提出了一种通用同步方法，该方法允许一组软件定义的无线电（SDR）传输或接收具有准确时机的任何相相/正交数据，同时在相应的伴随计算机中维持基本处理。所提出的方法依赖于在接收方向和传输方向中检测同步波形，并与处理系统共同控制直接内存访问块。通过在一组低成本SDR上实施这种同步方法，我们证明了基于频率键合（FSK）的多数票（MV）的性能，即用于联合边缘学习的过电计算方案，并引入相应的过程。我们的实验表明，对于均质和异质数据分布而无需在边缘设备上使用通道状态信息，测试精度可以达到95％以上。
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.
