Energy-Efficient Over-the-Air Federated Learning via Pinching Antenna Systems

Fuente: arXiv
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Auteurs principaux: Asaad, Saba, Bereyhi, Ali
Format: Preprint
Publié: 2026
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author Asaad, Saba
Bereyhi, Ali
author_facet Asaad, Saba
Bereyhi, Ali
contents Pinching antennas systems (PASSs) have recently been proposed as a novel flexible-antenna technology. These systems are implemented by attaching low-cost pinching elements to dielectric waveguides. As the direct link is bypassed through waveguides, PASSs can effectively compensate large-scale effects of the wireless channel. This work explores the potential gains of employing PASSs for over-the-air federated learning (OTA-FL). For a PASS-assisted server, we develop a low-complexity algorithmic approach, which jointly tunes the PASS parameters and schedules the mobile devices for minimal energy consumption in OTA-FL. We study the efficiency of the proposed design and compare it against the conventional OTA-FL setting with MIMO server. Numerical experiments demonstrate that using a single-waveguide PASS at the server within a moderately sized area, the required energy for model aggregation is drastically reduced as compared to the case with fully-digital MIMO server. This introduces PASS as a potential technology for energy-efficient distributed learning in next generations of wireless systems.
format Preprint
id arxiv_https___arxiv_org_abs_2602_14250
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Energy-Efficient Over-the-Air Federated Learning via Pinching Antenna Systems
Asaad, Saba
Bereyhi, Ali
Information Theory
Machine Learning
Signal Processing
Pinching antennas systems (PASSs) have recently been proposed as a novel flexible-antenna technology. These systems are implemented by attaching low-cost pinching elements to dielectric waveguides. As the direct link is bypassed through waveguides, PASSs can effectively compensate large-scale effects of the wireless channel. This work explores the potential gains of employing PASSs for over-the-air federated learning (OTA-FL). For a PASS-assisted server, we develop a low-complexity algorithmic approach, which jointly tunes the PASS parameters and schedules the mobile devices for minimal energy consumption in OTA-FL. We study the efficiency of the proposed design and compare it against the conventional OTA-FL setting with MIMO server. Numerical experiments demonstrate that using a single-waveguide PASS at the server within a moderately sized area, the required energy for model aggregation is drastically reduced as compared to the case with fully-digital MIMO server. This introduces PASS as a potential technology for energy-efficient distributed learning in next generations of wireless systems.
title Energy-Efficient Over-the-Air Federated Learning via Pinching Antenna Systems
topic Information Theory
Machine Learning
Signal Processing
url https://arxiv.org/abs/2602.14250