Sadi Alawadi

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 35

Top Topics

Evaluation Framework

Kernel Discriminant Analysis

Top Venues

Publications

Sadi Alawadi, Addi Ait-Mlouk, Salman Toor, Andreas Hellander
Toward efficient resource utilization at edge nodes in federated learning. Prog. Artif. Intell. 13 (2) (2024)
Sadi Alawadi, Khalid Alkharabsheh, Fahed Alkhabbas, Victor R. Kebande, Feras M. Awaysheh, Fabio Palomba, Mohammed Awad
FedCSD: A Federated Learning Based Approach for Code-Smell Detection. IEEE Access 12 (2024)
Hussam N. Fakhouri, Feras M. Awaysheh, Sadi Alawadi, Mohannad Alkhalaileh, Faten Hamad
Four vector intelligent metaheuristic for data optimization. Computing 106 (7) (2024)
Hussam N. Fakhouri, Sadi Alawadi, Feras M. Awaysheh, Faten Hamad
Novel hybrid success history intelligent optimizer with Gaussian transformation: application in CNN hyperparameter tuning. Clust. Comput. 27 (3) (2024)
Sadi Alawadi, Khalid Alkharabsheh, Fahed Alkhabbas, Victor R. Kebande, Feras M. Awaysheh, Fabio Palomba
FedCSD: A Federated Learning Based Approach for Code-Smell Detection. CoRR (2023)
Hussam N. Fakhouri, Sadi Alawadi, Feras M. Awaysheh, Faten Hamad, Sawsan Al-Zubi, Mohammad Aladwan
An Overview of using of Artificial Intelligence in Enhancing Security and Privacy in Mobile Social Networks. FMEC (2023)
Addi Ait-Mlouk, Sadi Alawadi, Salman Toor, Andreas Hellander
FedBot: Enhancing Privacy in Chatbots with Federated Learning. CoRR (2023)
Fahed Alkhabbas, Sadi Alawadi, Majed Ayyad, Romina Spalazzese, Paul Davidsson
ART4FL: An Agent-Based Architectural Approach for Trustworthy Federated Learning in the IoT. FMEC (2023)
Alexander Galozy, Sadi Alawadi, Victor R. Kebande, Slawomir Nowaczyk
Beyond Random Noise: Insights on Anonymization Strategies from a Latent Bandit Study. CoRR (2023)
Hiroki Kaminaga, Feras M. Awaysheh, Sadi Alawadi, Liina Kamm
MPCFL: Towards Multi-party Computation for Secure Federated Learning Aggregation. UCC (2023)
Sultan M. Al Khatib, Khalid Alkharabsheh, Sadi Alawadi
Selection of human evaluators for design smell detection using dragonfly optimization algorithm: An empirical study. Inf. Softw. Technol. 155 (2023)
Marc Haller, Christian Lenz, Robin Nachtigall, Feras M. Awaysheh, Sadi Alawadi
Handling Non-IID Data in Federated Learning: An Experimental Evaluation Towards Unified Metrics. DASC/PiCom/CBDCom/CyberSciTech (2023)
Sadi Alawadi, Addi Ait-Mlouk, Salman Toor, Andreas Hellander
Toward efficient resource utilization at edge nodes in federated learning. CoRR (2023)
Addi Ait-Mlouk, Sadi Alawadi, Salman Toor, Andreas Hellander
FedQAS: Privacy-aware machine reading comprehension with federated learning. CoRR (2022)
Morgan Ekmefjord, Addi Ait-Mlouk, Sadi Alawadi, Mattias Åkesson, Prashant Singh, Ola Spjuth, Salman Toor, Andreas Hellander
Scalable federated machine learning with FEDn. CCGRID (2022)
Feras M. Awaysheh, Mohammad Aladwan, Mamoun Alazab, Sadi Alawadi, José Carlos Cabaleiro, Tomás F. Pena
Security by Design for Big Data Frameworks Over Cloud Computing. IEEE Trans. Engineering Management 69 (6) (2022)
Feras M. Awaysheh, Sadi Alawadi, Sawsan Al-Zubi
FLIoDT: A Federated Learning Architecture from Privacy by Design to Privacy by Default over IoT. FMEC (2022)
Fahed Alkhabbas, Mohammed Alsadi, Sadi Alawadi, Feras M. Awaysheh, Victor R. Kebande, Mahyar Tourchi Moghaddam
ASSERT: A Blockchain-Based Architectural Approach for Engineering Secure Self-Adaptive IoT Systems. Sensors 22 (18) (2022)
Khalid Alkharabsheh, Sadi Alawadi, Victor R. Kebande, Yania Crespo, Manuel Fernández Delgado, José A. Taboada
A comparison of machine learning algorithms on design smell detection using balanced and imbalanced dataset: A study of God class. Inf. Softw. Technol. 143 (2022)
Khalid Alkharabsheh, Sadi Alawadi, Karam Ignaim, Nabeel Zanoon, Yania Crespo, M. Esperanza Manso, José Ángel Taboada González
Prioritization of god class design smell: A multi-criteria based approach. J. King Saud Univ. Comput. Inf. Sci. 34 (Issue 10, Part B) (2022)
Victor R. Kebande, Feras M. Awaysheh, Richard Adeyemi Ikuesan, Sadi Alawadi, Mohammad Dahman Alshehri
A Blockchain-Based Multi-Factor Authentication Model for a Cloud-Enabled Internet of Vehicles. Sensors 21 (18) (2021)
Victor R. Kebande, Richard Adeyemi Ikuesan, Feras M. Awaysheh, Sadi Alawadi
Towards a Learning-enabled Virtual Sensor Forensic Architecture Compliant with Edge Intelligence. IDSTA (2021)
Victor R. Kebande, Nickson M. Karie, Kim-Kwang Raymond Choo, Sadi Alawadi
Digital forensic readiness intelligence crime repository. Secur. Priv. 4 (3) (2021)
Khalid Alkharabsheh, Sadi Alawadi, Yania Crespo, M. Esperanza Manso, José A. Taboada
Analysing Agreement Among Different Evaluators in God Class and Feature Envy Detection. IEEE Access 9 (2021)
Victor R. Kebande, Sadi Alawadi, Feras M. Awaysheh, Jan A. Persson
Active Machine Learning Adversarial Attack Detection in the User Feedback Process. IEEE Access 9 (2021)
Morgan Ekmefjord, Addi Ait-Mlouk, Sadi Alawadi, Mattias Åkesson, Desislava Stoyanova, Ola Spjuth, Salman Toor, Andreas Hellander
Scalable federated machine learning with FEDn. CoRR (2021)
Sadi Alawadi, Victor R. Kebande, Yuji Dong, Joseph Bugeja, Jan A. Persson, Carl Magnus Olsson
A Federated Interactive Learning IoT-Based Health Monitoring Platform. ADBIS (Short Papers) (2021)
Sheunesu M. Makura, H. S. Venter, Victor R. Kebande, Nickson M. Karie, Richard Adeyemi Ikuesan, Sadi Alawadi
Digital forensic readiness in operational cloud leveraging ISO/IEC 27043 guidelines on security monitoring. Secur. Priv. 4 (3) (2021)
Mohammad Aladwan, Feras M. Awaysheh, Sadi Alawadi, Mamoun Alazab, Tomás F. Pena, José Carlos Cabaleiro
TrustE-VC: Trustworthy Evaluation Framework for Industrial Connected Vehicles in the Cloud. IEEE Trans. Ind. Informatics 16 (9) (2020)
Victor R. Kebande, Sadi Alawadi, Joseph Bugeja, Jan A. Persson, Carl Magnus Olsson
Leveraging Federated Learning & Blockchain to counter Adversarial Attacks in Incremental Learning. IOT Companion (2020)
Fahed Alkhabbas, Sadi Alawadi, Romina Spalazzese, Paul Davidsson
Activity recognition and user preference learning for automated configuration of IoT environments. IOT (2020)
Manuel Fernández Delgado, Manisha Sanjay Sirsat, Eva Cernadas, Sadi Alawadi, Senén Barro, Manuel Febrero-Bande
An extensive experimental survey of regression methods. Neural Networks 111 (2019)
Sadi Alawadi, Manuel Fernández Delgado, David Mera, Senén Barro
Polynomial Kernel Discriminant Analysis for 2D visualization of classification problems. Neural Comput. Appl. 31 (8) (2019)
Fabio Paternò, Sadi Alawadi
Towards Intelligent Personalization of IoT Platforms. IUI Workshops (2019)
Sadi Alawadi, David Mera, Manuel Fernández Delgado, José A. Taboada
Comparative Study of Artificial Neural Network Models for Forecasting the Indoor Temperature in Smart Buildings. Smart-CT (2017)