187 citations · 612 across the 43 of their papers we have counts for
46 papers
Federated Learning Assisted Deep Q-Learning for Joint Task Offloading and Fronthaul Segment Routing in Open RAN
Anselme Ndikumana, Kim Khoa Nguyen, Mohamed Cheriet
Offloading computation-intensive tasks to edge clouds has become an efficient way to support resource constraint edge devices. However, task offloading delay is an issue largely du…
Age of Processing-Based Data Offloading for Autonomous Vehicles in Multi-RATs Open RAN
Anselme Ndikumana, Kim Khoa Nguyen, Mohamed Cheriet
Today, vehicles use smart sensors to collect data from the road environment. This data is often processed onboard of the vehicles, using expensive hardware. Such onboard processing…
Evolution of MAC Protocols in the Machine Learning Decade: A Comprehensive Survey
Mostafa Hussien, Islam A. T. F. Taj-Eddin, Mohammed F. A. Ahmed +3
The last decade, (2012 - 2022), saw an unprecedented advance in machine learning (ML) techniques, particularly deep learning (DL). As a result of the proven capabilities of DL, a l…
Non-Negative Matrix Factorization with Scale Data Structure Preservation
Rachid Hedjam, Abdelhamid Abdesselam, Abderrahmane Rahiche +1
The model described in this paper belongs to the family of non-negative matrix factorization methods designed for data representation and dimension reduction. In addition to preser…
Two-level Closed Loops for RAN Slice Resources Management Serving Flying and Ground-based Cars
Anselme Ndikumana, Kim Khoa Nguyen, Mohamed Cheriet
Flying and ground-based cars require various services such as autonomous driving, remote pilot, infotainment, and remote diagnosis. Each service requires specific Quality of Servic…
Leveraging Centric Data Federated Learning Using Blockchain For Integrity Assurance
Riadh Ben Chaabene, Darine Amayed, Mohamed Cheriet
Machine learning abilities have become a vital component for various solutions across industries, applications, and sectors. Many organizations seek to leverage AI-based solutions…