A distributed collaborative learning approach in 5G+ core networks
The 5G+ networks are going through extensive overhauling at both the radio access network
(RAN) and core network (CN) to truly support the envisioned 5G+ use cases with ever so …
(RAN) and core network (CN) to truly support the envisioned 5G+ use cases with ever so …
A distributed nwdaf architecture for federated learning in 5g
For network automation and intelligence in 5G, the network data analytics function (NWDAF)
has been introduced as a new network function. However, the existing centralized NWDAF …
has been introduced as a new network function. However, the existing centralized NWDAF …
Federated Analytics for 6G Networks: Applications, Challenges, and Opportunities
JM Parra-Ullauri, X Zhang, A Bravalheri… - IEEE …, 2024 - ieeexplore.ieee.org
Extensive research is underway to meet the hyper-connectivity demands of 6G networks,
driven by applications like XR/VR and holographic communications, which generate …
driven by applications like XR/VR and holographic communications, which generate …
Federated Learning for Distributed NWDAF Architecture
P Rajabzadeh, A Outtagarts - 2023 26th Conference on …, 2023 - ieeexplore.ieee.org
Machine Learning (ML) has been considered to play a key role in processing collected data
from the network Functions (NFs) in 5G. Network Data Analytic Function (NWDAF) is a new …
from the network Functions (NFs) in 5G. Network Data Analytic Function (NWDAF) is a new …
Semi-decentralized federated edge learning with data and device heterogeneity
Federated edge learning (FEEL) emerges as a privacy-preserving paradigm to effectively
train deep learning models from the distributed data in 6G networks. Nevertheless, the …
train deep learning models from the distributed data in 6G networks. Nevertheless, the …
Distributed AI-native Architecture for 6G Networks
P Li, Y Xing, W Li - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
How to achieve native intelligence in 6G networks has attracted widespread attention and
discussion in the communication field. In the core network, NWDAF (Network Data Analytics …
discussion in the communication field. In the core network, NWDAF (Network Data Analytics …
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 …
Combining federated learning and edge computing toward ubiquitous intelligence in 6G network: Challenges, recent advances, and future directions
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 …
providing intelligent services in the 6G network calls for Ubiquitous Intelligence (UI). A key to …
Guest editorial leveraging machine learning in sdn/nfv-based networks
A key trend of current network evolution is in the direction of network softwarization and
virtualization. These technological paradigms aim to enable a network to be programmable …
virtualization. These technological paradigms aim to enable a network to be programmable …
Toward energy-efficient distributed federated learning for 6G networks
The provision of communication services via portable and mobile devices, such as aerial
base stations, is a crucial concept to be realized in 5G/6G networks. Conventionally …
base stations, is a crucial concept to be realized in 5G/6G networks. Conventionally …