6 papers
Deep Learning based Moving Target Defence for Federated Learning against Poisoning Attack in MEC Systems with a 6G Wireless Model
Somayeh Kianpisheh, Tarik Taleb, Jari Iinatti +1
Collaboration opportunities for devices are facilitated with Federated Learning (FL). Edge computing facilitates aggregation at edge and reduces latency. To deal with model poisoni…
Towards a Dynamic Future with Adaptable Computing and Network Convergence (ACNC)
Masoud Shokrnezhad, Hao Yu, Tarik Taleb +4
In the context of advancing 6G, a substantial paradigm shift is anticipated, highlighting comprehensive everything-to-everything interactions characterized by numerous connections…
Towards Secure Intelligent O-RAN Architecture: Vulnerabilities, Threats and Promising Technical Solutions using LLMs
Mojdeh Karbalaee Motalleb, Chafika Benzaid, Tarik Taleb +3
The evolution of wireless communication systems will be fundamentally impacted by an open radio access network (O-RAN), a new concept defining an intelligent architecture with enha…
Discovery of 6G Services and Resources in Edge-Cloud-Continuum
Mohammad Farhoudi, Masoud Shokrnezhad, Tarik Taleb +2
The advent of 6G networks will present a pivotal juncture in the evolution of telecommunications, marked by the proliferation of devices, dynamic service requests, and the integrat…
Semantic Revolution from Communications to Orchestration for 6G: Challenges, Enablers, and Research Directions
Masoud Shokrnezhad, Hamidreza Mazandarani, Tarik Taleb +2
In the context of emerging 6G services, the realization of everything-to-everything interactions involving a myriad of physical and digital entities presents a crucial challenge. T…
Cross-Cluster Networking to Support Extended Reality Services
Theodoros Theodoropoulos, Luis Rosa, Abderrahmane Boudi +6
Extented Reality (XR) refers to a class of contemporary services that are intertwined with a plethora of rather demanding Quality of Service (QoS) and functional requirements. Desp…