Combining federated learning and edge computing toward ubiquitous intelligence in 6G network: Challenges, recent advances, and future directions

Q Duan, J Huang, S Hu, R Deng… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Full leverage of the huge volume of data generated on a large number of user devices for
providing intelligent services in the 6G network calls for Ubiquitous Intelligence (UI). A key to …

Towards an open, intelligent, and end-to-end architectural framework for network slicing in 6G communication systems

MA Habibi, B Han, A Fellan, W Jiang… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
The definition of the fundamental concepts and the design of the architectural framework for
network slicing in fifth-generation communication systems have been successfully …

[HTML][HTML] The 6G Ecosystem as Support for IoE and Private Networks: Vision, Requirements, and Challenges

C Serôdio, J Cunha, G Candela, S Rodriguez… - Future Internet, 2023 - mdpi.com
The emergence of the sixth generation of cellular systems (6G) signals a transformative era
and ecosystem for mobile communications, driven by demands from technologies like the …

Large language models in 6G security: challenges and opportunities

T Nguyen, H Nguyen, A Ijaz, S Sheikhi… - arXiv preprint arXiv …, 2024 - arxiv.org
The rapid integration of Generative AI (GenAI) and Large Language Models (LLMs) in
sectors such as education and healthcare have marked a significant advancement in …

Ultra-Reliable Low-Latency Communications: Foundations, Enablers, System Design, and Evolution Towards 6G

NH Mahmood, I Atzeni, EA Jorswieck… - … and Trends® in …, 2023 - nowpublishers.com
Wireless communication has traditionally been designed to connect human users. The main
design goal was to maximize the data rate while guaranteeing moderate reliability and …

AI/ML for beyond 5G systems: Concepts, technology enablers & solutions

T Taleb, C Benzaïd, RA Addad, K Samdanis - Computer Networks, 2023 - Elsevier
Abstract 5G brought an evolution on the network architecture employing the service-based
paradigm, enabling flexibility in realizing customized services across different technology …

Autonomous federated learning for distributed intrusion detection systems in public networks

ABZ Mahmoodi, S Sheikhi, E Peltonen… - IEEE Access, 2023 - ieeexplore.ieee.org
The rapid integration of IoT, cloud, and edge computing has resulted in highly
interconnected networks, emphasizing the need for advanced Intrusion Detection Systems …

Collaborative Federated Learning for 6G With a Deep Reinforcement Learning Based Controlling Mechanism: A DDoS Attack Detection Scenario

S Kianpisheh, T Taleb - IEEE Transactions on Network and …, 2024 - ieeexplore.ieee.org
Offering intelligent services with ultra low latency and high reliability is one of the main
objectives of 6G networks. Federated Learning (FL) is a solution to enhance the security of …

DDoS attack detection using unsupervised federated learning for 5G networks and beyond

S Sheikhi, P Kostakos - … & 6G Summit (EuCNC/6G Summit), 2023 - ieeexplore.ieee.org
The rapid expansion of 5G networks, coupled with the emergence of 6G technology, has
highlighted the critical need for robust security measures to protect communication …

A Cyberpunk 2077 perspective on the prediction and understanding of future technology

MB López, CÁ Casado - arXiv preprint arXiv:2309.13970, 2023 - arxiv.org
Science fiction and video games have long served as valuable tools for envisioning and
inspiring future technological advancements. This position paper investigates the potential …