432 citations · 520 across the 17 of their papers we have counts for
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cs.NI2022
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…
cs.NI2022★ 2 cited
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…
cs.NI2022
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…