Broadband digital over-the-air computation for wireless federated edge learning

L You, X Zhao, R Cao, Y Shao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper presents the first orthogonal frequency-division multiplexing (OFDM)-based
digital over-the-air computation (AirComp) system for wireless federated edge learning …

Over-the-air computation based on balanced number systems for federated edge learning

A Şahin - IEEE Transactions on Wireless Communications, 2023 - ieeexplore.ieee.org
In this study, we propose a digital over-the-air computation (OAC) scheme for achieving
continuous-valued (analog) aggregation for federated edge learning (FEEL). We show that …

Reliable Majority Vote Computation with Complementary Sequences for UAV Waypoint Flight Control

A Şahin, X Wang - IEEE Transactions on Wireless …, 2024 - ieeexplore.ieee.org
In this study, we propose a non-coherent over-the-air computation scheme to calculate the
majority vote (MV) reliably in fading channels. The proposed approach relies on modulating …

Unleashing Edgeless Federated Learning with Analog Transmissions

HH Yang, Z Chen, TQS Quek - IEEE Transactions on Signal …, 2024 - ieeexplore.ieee.org
We demonstrate that merely analog transmissions and match filtering can realize the
function of an edge server in federated learning (FL). Therefore, a network with massively …

Optimal Receive Filter Design for Misaligned Over-the-Air Computation

H Hellström, S Razavikia, V Fodor… - arXiv preprint arXiv …, 2023 - arxiv.org
Over-the-air computation (OAC) is a promising wireless communication method for
aggregating data from many devices in dense wireless networks. The fundamental idea of …

Over-the-Air Majority Vote Computation with Modulation on Conjugate-Reciprocal Zeros

A Sahin - arXiv preprint arXiv:2405.02981, 2024 - arxiv.org
In this study, we propose a new approach to compute the majority vote (MV) function based
on modulation on conjugate-reciprocal zeros (MOCZ) and introduce three different methods …