Gaith Rjoub

According to our database, Gaith Rjoub authored at least 23 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection.

Gaith Rjoub, Omar Abdel Wahab, Jamal Bentahar, Robin Cohen, Ahmed Saleh Bataineh

Inf. Syst. Frontiers, August, 2024

Trust-driven reinforcement selection strategy for federated learning on IoT devices.

Gaith Rjoub, Omar Abdel Wahab, Jamal Bentahar, Ahmed Saleh Bataineh

Computing, April, 2024

A comprehensive survey on applications of transformers for deep learning tasks.

Saidul Islam, Hanae Elmekki, Ahmed Elsebai, Jamal Bentahar, Nagat Drawel, Gaith Rjoub, Witold Pedrycz

Expert Syst. Appl., 2024

Enhancing IoT Intelligence: A Transformer-based Reinforcement Learning Methodology.

Gaith Rjoub, Saidul Islam, Jamal Bentahar, Mohammed Amin Almaiah, Rana Al-Rawashdeh

CoRR, 2024

2023

A Survey on Explainable Artificial Intelligence for Cybersecurity.

Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Rabeb Mizouni, Alyssa Song, Robin Cohen, Hadi Otrok, Azzam Mourad

IEEE Trans. Netw. Serv. Manag., December, 2023

A Survey on Explainable Artificial Intelligence for Network Cybersecurity.

Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Rabeb Mizouni, Alyssa Song, Robin Cohen, Hadi Otrok, Azzam Mourad

CoRR, 2023

Explainable Trust-aware Selection of Autonomous Vehicles Using LIME for One-Shot Federated Learning.

Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab

Proceedings of the International Wireless Communications and Mobile Computing, 2023

2022

Cloud Computing as a Platform for Monetizing Data Services: A Two-Sided Game Business Model.

Ahmed Saleh Bataineh, Jamal Bentahar, Rabeb Mizouni, Omar Abdel Wahab, Gaith Rjoub, May El Barachi

IEEE Trans. Netw. Serv. Manag., 2022

Federated against the cold: A trust-based federated learning approach to counter the cold start problem in recommendation systems.

Omar Abdel Wahab, Gaith Rjoub, Jamal Bentahar, Robin Cohen

Inf. Sci., 2022

Formal verification of group and propagated trust in multi-agent systems.

Nagat Drawel, Jamal Bentahar, Amine Laarej, Gaith Rjoub

Auton. Agents Multi Agent Syst., 2022

Active Federated YOLOR Model for Enhancing Autonomous Vehicles Safety.

Gaith Rjoub, Jamal Bentahar, Y A Joarder

Proceedings of the Mobile Web and Intelligent Information Systems, 2022

Explainable AI-based Federated Deep Reinforcement Learning for Trusted Autonomous Driving.

Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab

Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022

One-Shot Federated Learning-based Model-Free Reinforcement Learning.

Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Nagat Drawel

Proceedings of the International Conference on Deep Learning, 2022

2021

Deep and reinforcement learning for automated task scheduling in large-scale cloud computing systems.

Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Ahmed Saleh Bataineh

Concurr. Comput. Pract. Exp., 2021

Improving Autonomous Vehicles Safety in Snow Weather Using Federated YOLO CNN Learning.

Gaith Rjoub, Omar Abdel Wahab, Jamal Bentahar, Ahmed Saleh Bataineh

Proceedings of the Mobile Web and Intelligent Information Systems, 2021

Cloud as platform for monetizing complementary data for AI-driven services: A two-sided cooperative game.

Ahmed Saleh Bataineh, Jamal Bentahar, Omar Abdel Wahab, Rabeb Mizouni, Gaith Rjoub

Proceedings of the IEEE International Conference on Services Computing, 2021

2020

An endorsement-based trust bootstrapping approach for newcomer cloud services.

Omar Abdel Wahab, Robin Cohen, Jamal Bentahar, Hadi Otrok, Azzam Mourad, Gaith Rjoub

Inf. Sci., 2020

BigTrustScheduling: Trust-aware big data task scheduling approach in cloud computing environments.

Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab

Future Gener. Comput. Syst., 2020

Formalizing Group and Propagated Trust in Multi-Agent Systems.

Nagat Drawel, Jamal Bentahar, Amine Laarej, Gaith Rjoub

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A Trust and Energy-Aware Double Deep Reinforcement Learning Scheduling Strategy for Federated Learning on IoT Devices.

Gaith Rjoub, Omar Abdel Wahab, Jamal Bentahar, Ahmed Saleh Bataineh

Proceedings of the Service-Oriented Computing - 18th International Conference, 2020

A Game-Based Secure Trading of Big Data and IoT Services: Blockchain as a Two-Sided Market.

Ahmed Saleh Bataineh, Jamal Bentahar, Omar Abdel Wahab, Rabeb Mizouni, Gaith Rjoub

Proceedings of the Service-Oriented Computing - 18th International Conference, 2020

2019

Deep Smart Scheduling: A Deep Learning Approach for Automated Big Data Scheduling Over the Cloud.

Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Ahmed Saleh Bataineh

Proceedings of the 7th International Conference on Future Internet of Things and Cloud, 2019

2017

Cloud Task Scheduling Based on Swarm Intelligence and Machine Learning.

Gaith Rjoub, Jamal Bentahar

Proceedings of the 5th IEEE International Conference on Future Internet of Things and Cloud, 2017