26 citations · 187 across the 28 of their papers we have counts for
30 papers
A Green Multi-Attribute Client Selection for Over-The-Air Federated Learning: A Grey-Wolf-Optimizer Approach
Maryam Ben Driss, Essaid Sabir, Halima Elbiaze +2
Federated Learning (FL) has gained attention across various industries for its capability to train machine learning models without centralizing sensitive data. While this approach…
Grant-Free Power Allocation for Ultra-Dense Internet of Things Environments: A Mean-Field Perspective
Sami Nadif, Essaid Sabir, Halima Elbiaze +1
Grant free access, in which each Internet of Things (IoT) device delivers its packets through a randomly selected resource without spending time on handshaking procedures, is a pro…
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights
Maryam Ben Driss, Essaid Sabir, Halima Elbiaze +1
Artificial Intelligence (AI) is expected to play an instrumental role in the next generation of wireless systems, such as sixth-generation (6G) mobile network. However, massive dat…
A Review of the In-Network Computing and Its Role in the Edge-Cloud Continuum
Manel Gherari, Fatemeh Aghaali Akbari, Sama Habibi +12
Future networks are anticipated to enable exciting applications and industrial services ranging from Multisensory Extended Reality to Holographic and Haptic communication. These se…
Deep Reinforcement Learning-based Content Migration for Edge Content Delivery Networks with Vehicular Nodes
Sepideh Malektaji, Amin Ebrahimzadeh, Halima Elbiaze +2
With the explosive demands for data, content delivery networks are facing ever-increasing challenges to meet end-users quality-of-experience requirements, especially in terms of de…
On Computing In the Network: Covid-19 Coughs Detection Case Study
Soukaina Ouledsidi Ali, Zakaria Ait Hmitti, Halima Elbiaze +1
Computing in the network (COIN) is a promising technology that allows processing to be carried out within network devices such as switches and network interface cards. Time sensiti…