2.4k citations · 3.3k across the 39 of their papers we have counts for
6 papers · 1 filter
Layer-Wise Security Framework and Analysis for the Quantum Internet
Zebo Yang, Ali Ghubaish, Raj Jain +5
With its significant security potential, the quantum internet is poised to revolutionize technologies like cryptography and communications. Although it boasts enhanced security ove…
Optimized Federated Multitask Learning in Mobile Edge Networks: A Hybrid Client Selection and Model Aggregation Approach
Moqbel Hamood, Abdullatif Albaseer, Mohamed Abdallah +2
We propose clustered federated multitask learning to address statistical challenges in non-independent and identically distributed data across clients. Our approach tackles complex…
Empowering HWNs with Efficient Data Labeling: A Clustered Federated Semi-Supervised Learning Approach
Moqbel Hamood, Abdullatif Albaseer, Mohamed Abdallah +1
Clustered Federated Multitask Learning (CFL) has gained considerable attention as an effective strategy for overcoming statistical challenges, particularly when dealing with non in…
Semi-supervised Deep Reinforcement Learning in Support of IoT and Smart City Services
Mehdi Mohammadi, Ala Al-Fuqaha, Mohsen Guizani +1
Smart services are an important element of the smart cities and the Internet of Things (IoT) ecosystems where the intelligence behind the services is obtained and improved through…
Deep Learning for IoT Big Data and Streaming Analytics: A Survey
Mehdi Mohammadi, Ala Al-Fuqaha, Sameh Sorour +1
In the era of the Internet of Things (IoT), an enormous amount of sensing devices collect and/or generate various sensory data over time for a wide range of fields and applications…
Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges
Muhammad Usama, Junaid Qadir, Aunn Raza +5
While machine learning and artificial intelligence have long been applied in networking research, the bulk of such works has focused on supervised learning. Recently there has been…