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[2602.14250] Energy-Efficient Over-the-Air Federated Learning via Pinching Antenna Systems
Summary
This article explores the use of Pinching Antenna Systems (PASSs) to enhance energy efficiency in over-the-air federated learning, presenting a novel algorithm that reduces energy consumption during model aggregation.
Why It Matters
As federated learning gains traction in distributed machine learning, optimizing energy consumption is crucial for sustainable technology. This research introduces PASSs as a promising solution to improve efficiency in wireless systems, potentially influencing future designs and applications in AI and telecommunications.
Key Takeaways
- Pinching Antenna Systems (PASSs) can significantly reduce energy consumption in federated learning.
- The proposed algorithm optimizes the scheduling of mobile devices and tuning of PASS parameters.
- Numerical experiments show drastic energy savings compared to conventional MIMO server setups.
- This research highlights the potential of PASSs for future wireless communication systems.
- Energy efficiency is becoming increasingly important in the context of distributed learning technologies.
Computer Science > Information Theory arXiv:2602.14250 (cs) [Submitted on 15 Feb 2026] Title:Energy-Efficient Over-the-Air Federated Learning via Pinching Antenna Systems Authors:Saba Asaad, Ali Bereyhi View a PDF of the paper titled Energy-Efficient Over-the-Air Federated Learning via Pinching Antenna Systems, by Saba Asaad and Ali Bereyhi View PDF HTML (experimental) Abstract: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. Commen...
