تصفح حسب المؤلف "Mrad, Ilyes"
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Federated Learning for UAV Swarms under Class Imbalance and Power Consumption Constraints
Mrad, Ilyes; Samara, Lutfi; Abdellatif, Alaa Awad; Al-Abbasi, Abubakr; Hamila, Ridha; Erbad, Aiman... more authors ... less authors ( IEEE , 2021 , Conference Paper)The usage of unmanned aerial vehicles (UAVs) in civil and military applications continues to increase due to the numerous advantages that they provide over conventional approaches. Despite the abundance of such advantages, ... -
Federated Learning in NOMA Networks: Convergence, Energy and Fairness-Based Design
Mrad, Ilyes; Samara, Lutfi; Al-Abbasi, Abubakr; Hamila, Ridha; Erbad, Aiman; Kiranyaz, Serkan... more authors ... less authors ( IEEE , 2022 , Conference Paper)Federated Learning (FL) is a collaborative machine learning (ML) approach, where different nodes in a network contribute to learning the model parameters. In addition, FL provides several attractive features such as data ... -
Joint learning and optimization for Federated Learning in NOMA-based networks
Mrad, Ilyes; Hamila, Ridha; Erbad, Aiman; Gabbouj, Moncef ( Elsevier , 2023 , Article)Over the past decade, the usage of machine learning (ML) techniques have increased substantially in different applications. Federated Learning (FL) refers to collaborative techniques that avoid the exchange of raw data ... -
Machine Learning Screening of COVID-19 Patients Based on X-ray Images for Imbalanced Classes
Mrad, Ilyes; Hamila, Ridha; Erbad, Aiman; Hamid, Tahir; Mazhar, Rashid; Al-Emadi, Nasser... more authors ... less authors ( IEEE , 2021 , Conference Paper)COVID-19 is a virus that has infected more than one hundred and fifty million people and caused more than three million deaths by 13th of Mai 2021 and is having a catastrophic effect on the world population's safety. ... -
Machine learning screening of COVID-19 patients based on X-ray images for unbalanced classes
Mrad, Ilyes; Hamila, Ridha; Al-Emadi, Nasser; Erbad, Aiman; Hamid, Tahir; Mazhar, Rashid... more authors ... less authors ( Hamad bin Khalifa University Press (HBKU Press) , 2021 , Article)Background: COVID-19 is a pandemic that had already infected more than forty-six million people and caused more than a million deaths by 1st of November 2020. The virus pandemic appears to have had a catastrophic effect ...