432 citations · 468 across the 11 of their papers we have counts for
11 papers
Unsupervised Data Splitting Scheme for Federated Edge Learning in IoT Networks
Boubakr Nour, Soumaya Cherkaoui
Federated Edge Learning (FEEL) is a promising distributed learning technique that aims to train a shared global model while reducing communication costs and promoting users' privac…
Communication and Computation O-RAN Resource Slicing for URLLC Services Using Deep Reinforcement Learning
Abderrahime Filali, Boubakr Nour, Soumaya Cherkaoui +1
The evolution of the future beyond-5G/6G networks towards a service-aware network is based on network slicing technology. With network slicing, communication service providers seek…
Matching-based Service Offloading for Compute-less Driven IoT Networks
Boubakr Nour, Soumaya Cherkaoui
With the advent of the Internet of Things (IoT) and 5G networks, edge computing is offering new opportunities for business model and use cases innovations. Service providers can no…
A Network-based Compute Reuse Architecture for IoT Applications
Boubakr Nour, Soumaya Cherkaoui
The tremendous advancements in the Internet of Things (IoT) increasingly involve computationally intensive services. These services often require more computation resources than ca…
Networking and Computing in Biomechanical Research: Challenges and Directions
Spyridon Mastorakis, Andreas Skiadopoulos, Susmit Shannigrahi +3
Biomechanics is a scientific discipline that studies the forces acting on a body and the effects they produce. In this paper, we bring together biomechanists and networking researc…
Information-Centric Networking in Wireless Environments: Security Risks and Challenges
Boubakr Nour, Spyridon Mastorakis, Rehmat Ullah +1
Information-Centric Networking (ICN) has emerged as a paradigm to cope with the lack of built-in security primitives and efficient mechanisms for content distribution of today's In…