Gaith Rjoub

A comprehensive survey on applications of transformers for deep learning tasks

Saidul Islam, Hanae Elmekki, Ahmed Elsebai et al. · Expert Systems with Applications · 2023 · 358 citations

Convolutional Neural Network, Engineering, Machine Learning +9

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

Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab et al. · Concurrency and Computation Practice and Experience · 2020 · 149 citations

Artificial Intelligence, Engineering, Big Data Analytics +18

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 et al. · Information Sciences · 2022 · 109 citations

Cold Start Problem, Decentralized Machine Learning, Engineering +10

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

Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab · Future Generation Computer Systems · 2019 · 94 citations

Cluster Computing, Engineering, Data Trust +13

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

Gaith Rjoub, Omar Abdel Wahab, Jamal Bentahar et al. · Computing · 2022 · 82 citations

Decentralized Machine Learning, Engineering, Smart Systems +7