Incentive mechanisms for federated learning: From economic and game theoretic perspective
Federated learning (FL) becomes popular and has shown great potentials in training large-
scale machine learning (ML) models without exposing the owners' raw data. In FL, the data …
scale machine learning (ML) models without exposing the owners' raw data. In FL, the data …
Algorithmics and modeling aspects of network slicing in 5G and beyonds network: Survey
One of the key goals of future 5G networks is to incorporate many different services into a
single physical network, where each service has its logical network isolated from other …
single physical network, where each service has its logical network isolated from other …
A functional architecture for 6g special-purpose industrial iot networks
NH Mahmood, G Berardinelli, EJ Khatib… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Future industrial applications will encompass compelling new use cases requiring stringent
performance guarantees over multiple key performance indicators, such as reliability …
performance guarantees over multiple key performance indicators, such as reliability …
Performance analysis of a delay constrained data offloading scheme in an integrated cloud-fog-edge computing system
R Fantacci, B Picano - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
The recent growth in intensive services and applications demand has triggered the
functional integration of cloud computing with edge computing capabilities. One of the main …
functional integration of cloud computing with edge computing capabilities. One of the main …
Deep Q-learning-based dynamic network slicing and task offloading in edge network
Recently, Edge Computing (EC) has become a promising enabler to support emerging
applications in 5G mobile networks by offloading compute-intensive tasks from devices to …
applications in 5G mobile networks by offloading compute-intensive tasks from devices to …
Federated Learning-Empowered Mobile Network Management for 5G and Beyond Networks: From Access to Core
The fifth generation (5G) and beyond wireless networks are envisioned to provide an
integrated communication and computing platform that will enable multipurpose and …
integrated communication and computing platform that will enable multipurpose and …
Stable matching based resource allocation for service provider's revenue maximization in 5G networks
5G technology is foreseen to have a heterogeneous architecture with the various
computational capability, and radio-enabled service providers (SPs) and service requesters …
computational capability, and radio-enabled service providers (SPs) and service requesters …
A classification of the enabling techniques for low latency and reliable communications in 5G and beyond: AI-enabled edge caching
LC Mutalemwa, S Shin - IEEE Access, 2020 - ieeexplore.ieee.org
Various advanced and mission-critical applications are enabled by the emerging
technologies in fifth-generation (5G) mobile communication systems. To ensure improved …
technologies in fifth-generation (5G) mobile communication systems. To ensure improved …
Network traffic analysis using machine learning: an unsupervised approach to understand and slice your network
Recent development in smart devices has lead us to an explosion in data generation and
heterogeneity, which requires new network solutions for better analyzing and understanding …
heterogeneity, which requires new network solutions for better analyzing and understanding …
5G network slicing: Fundamental concepts, architectures, algorithmics, projects practices, and open issues
F Debbabi, R Jmal… - … and Computation: Practice …, 2021 - Wiley Online Library
Network slicing (NS) presents the key enabler of cellular network improvements. It allows
enhancing the performance of diverse requirements supported for verticals industries. The …
enhancing the performance of diverse requirements supported for verticals industries. The …