Communication-Efficient Federated Learning for Hybrid VLC/RF Indoor Systems. - Seyed Mohammad Sheikholeslami; Arash Rasti-Meymandi; Seyed Jamal Seyed-Mohammadi; Jamshid Abouei; Konstantinos N. Plataniotis (IEEE Access, 2022)

A deep learning-based framework For ECG signal denoising based on stacked cardiac cycle tensor. - Arash Rasti-Meymandi; Aboozar Ghaffari (Biomed. Signal Process. Control., 2022)

Plug and play augmented HQS: Convergence analysis and its application in MRI reconstruction. - Arash Rasti-Meymandi; Aboozar Ghaffari; Emad Fatemizadeh (Neurocomputing, 2023)

Graph Federated Learning for CIoT Devices in Smart Home Applications. - Arash Rasti-Meymandi; Seyed Mohammad Sheikholeslami; Jamshid Abouei; Konstantinos N. Plataniotis (IEEE Internet Things J., 2023)

GSTAM: Efficient Graph Distillation with Structural Attention-Matching. - Arash Rasti-Meymandi; Ahmad Sajedi; Zhaopan Xu; Konstantinos N. Plataniotis (ECCV Workshops (19), 2024)

Persota FL: A Robust-to-Noise Personalized Over the Air Federated Learning for Human Activity Recognition. - Arash Rasti-Meymandi; Pai Chet Ng; Huan Liu 014; Yuanhao Yu; Konstantinos N. Plataniotis (ICASSP Workshops, 2024)

Opportunities for Persian Digital Humanities Research with Artificial Intelligence Language Models; Case Study: Forough Farrokhzad. - Arash Rasti-Meymandi; Zahra Hosseini; Sina Davari; Abolfazl Moshiri; Shabnam Rahimi-Golkhandan; Khashayar Namdar; Nikta Feizi; Mohamad Tavakoli-Targhi; Farzad Khalvati (CoRR, 2024)

FedPnP: Personalized graph-structured federated learning. - Arash Rasti-Meymandi; Ahmad Sajedi; Konstantinos N. Plataniotis (Pattern Recognit., 2025)