Wireless for machine learning: A survey
As data generation increasingly takes place on devices without a wired connection, Machine
Learning (ML) related traffic will be ubiquitous in wireless networks. Many studies have …
Learning (ML) related traffic will be ubiquitous in wireless networks. Many studies have …
How to coordinate edge devices for over-the-air federated learning?
This work studies the task of device coordination in wireless networks for over-the-air
federated learning (OTA-FL). For conventional metrics of aggregation error, the task is …
federated learning (OTA-FL). For conventional metrics of aggregation error, the task is …
Unbiased over-the-air computation via retransmissions
H Hellstrom, V Fodor… - GLOBECOM 2022-2022 …, 2022 - ieeexplore.ieee.org
Over-the-air computation (AirComp) has recently emerged as an efficient analog method for
data acquisition from wireless sensor devices. In essence, AirComp exploits the signal …
data acquisition from wireless sensor devices. In essence, AirComp exploits the signal …
Analyzing Convergence Aspects of Federated Learning: More Devices or More Network Layers?
Federated learning has attracted considerable research interest to better shape the next-
generation communication systems. Along this line, in this paper, different combinations of …
generation communication systems. Along this line, in this paper, different combinations of …