Trustworthy federated learning: a comprehensive review, architecture, key challenges, and future research prospects
Federated Learning (FL) emerged as a significant advancement in the field of Artificial
Intelligence (AI), enabling collaborative model training across distributed devices while …
Intelligence (AI), enabling collaborative model training across distributed devices while …
Explainable AI in 6G O-RAN: A Tutorial and Survey on Architecture, Use Cases, Challenges, and Future Research
The recent o-ran specifications promote the evolution of ranran architecture by function
disaggregation, adoption of open interfaces, and instantiation of a hierarchical closed-loop …
disaggregation, adoption of open interfaces, and instantiation of a hierarchical closed-loop …
Intelligible protocol learning for resource allocation in 6G O-RAN slicing
F Rezazadeh, H Chergui, S Siddiqui… - IEEE Wireless …, 2024 - ieeexplore.ieee.org
An adaptive standardized protocol is essential for addressing inter-slice resource contention
and conflict in network slicing. Traditional protocol standardization is a cumbersome task …
and conflict in network slicing. Traditional protocol standardization is a cumbersome task …
Toward Explainable Reasoning in 6G: A Proof of Concept Study on Radio Resource Allocation
The move toward artificial intelligence (AI)-native sixth-generation (6G) networks has put
more emphasis on the importance of explainability and trustworthiness in network …
more emphasis on the importance of explainability and trustworthiness in network …
Resource Management From Single-domain 5G to End-to-End 6G Network Slicing: A Survey
S Ebrahimi, F Bouali, OCL Haas - … Communications Surveys & …, 2024 - ieeexplore.ieee.org
Network Slicing (NS) is one of the pillars of the fifth/sixth generation (5G/6G) of mobile
networks. It provides the means for Mobile Network Operators (MNOs) to leverage physical …
networks. It provides the means for Mobile Network Operators (MNOs) to leverage physical …
Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicing
Future zero-touch artificial intelligence (AI)-driven 6G network automation requires building
trust in the AI black boxes via explainable artificial intelligence (XAI), where it is expected …
trust in the AI black boxes via explainable artificial intelligence (XAI), where it is expected …
Secure AI/ML-Based Control in Intent-Based Management System
The emergence of intent-based management (IbM) as a concept for managing and
operating telecommunication systems in 6G necessitates the identification of potential …
operating telecommunication systems in 6G necessitates the identification of potential …