12 papers
Global Unknown Estimation: A Statistical Framework for Wireless Distributed Learning
Yicheng Qu, Ali Bereyhi, Ben Liang
Over-the-air computation (AirComp) is widely used for model aggregation in wireless distributed learning. Although it enhances communication efficiency, we believe the AirComp aggr…
Revisiting GAN with Bayes-Optimal Discrimination
Mohammadreza Tavasoli Naeini, Ali Bereyhi, Morteza Noshad +2
We propose an alternative to the standard GAN training approach, in which the discriminator is a binary classifier trained by cross-entropy to distinguish real samples from generat…
Low-complexity tuning of pinching-antenna systems for integrated sensing and communication
Saba Asaad, Chongjun Ouyang, Zhiguo Ding +1
Pinching antenna systems (PASSs) can dynamically adapt their transmit and receive arrays for sensing and communication in wireless systems. This work explores the potential of PASS…
Regime-aware financial volatility forecasting via in-context learning
Saba Asaad, Shayan Mohajer Hamidi, Ali Bereyhi
This work introduces a regime-aware in-context learning framework that leverages large language models (LLMs) for financial volatility forecasting under nonstationary market condit…
Energy-Efficient Over-the-Air Federated Learning via Pinching Antenna Systems
Saba Asaad, Ali Bereyhi
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 diele…
Dynamic and Static Energy Efficient Design of Pinching Antenna Systems
Saba Asaad, Chongjun Ouyang, Ali Bereyhi +1
We study the energy efficiency of pinching-antenna systems (PASSs) by developing a consistent formulation for power distribution in these systems. The per-antenna power distributio…