Federated Learning-Empowered Mobile Network Management for 5G and Beyond Networks: From Access to Core

J Lee, F Solat, TY Kim, HV Poor - … Communications Surveys & …, 2024 - ieeexplore.ieee.org
The fifth generation (5G) and beyond wireless networks are envisioned to provide an
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

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 ubiquitous AI in 6G with federated learning

Y Xiao, G Shi, M Krunz - arXiv preprint arXiv:2004.13563, 2020 - arxiv.org
With 5G cellular systems being actively deployed worldwide, the research community has
started to explore novel technological advances for the subsequent generation, ie, 6G. It is …

Federated learning in mobile edge networks: A comprehensive survey

WYB Lim, NC Luong, DT Hoang, Y Jiao… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
In recent years, mobile devices are equipped with increasingly advanced sensing and
computing capabilities. Coupled with advancements in Deep Learning (DL), this opens up …

AI in 6G: Energy-efficient distributed machine learning for multilayer heterogeneous networks

MA Hossain, AR Hossain, N Ansari - IEEE Network, 2022 - ieeexplore.ieee.org
Adept network management is key for supporting extremely heterogeneous applications
with stringent quality of service (QoS) requirements; this is more so when envisioning the …

[HTML][HTML] 5G-Enabled Distributed Intelligence Based on O-RAN for Distributed IoT Systems

R Firouzi, R Rahmani - Sensors, 2022 - mdpi.com
Edge-based distributed intelligence techniques, such as federated learning (FL), have
recently been used in many research fields thanks, in part, to their decentralized model …

Mcoranfed: Communication efficient federated learning in open ran

AK Singh, KK Nguyen - 2022 14th IFIP Wireless and Mobile …, 2022 - ieeexplore.ieee.org
To bring network intelligence closer to the end devices, Open Radio Access Networks (O-
RAN) specifies a disaggregated and vendor agnostic framework of hierarchical processing …

Optimization Design for Federated Learning in Heterogeneous 6G Networks

B Luo, P Han, P Sun, X Ouyang, J Huang… - IEEE Network, 2023 - ieeexplore.ieee.org
With the rapid advancement of 5G networks, billions of smart Internet of Things (IoT) devices
along with an enormous amount of data are generated at the network edge. While still at an …

Edge-native intelligence for 6G communications driven by federated learning: A survey of trends and challenges

M Al-Quraan, L Mohjazi, L Bariah… - … on Emerging Topics …, 2023 - ieeexplore.ieee.org
New technological advancements in wireless networks have enlarged the number of
connected devices. The unprecedented surge of data volume in wireless systems …

Green concerns in federated learning over 6G

B Zhao, Q Cui, S Liang, J Zhai, Y Hou… - China …, 2022 - ieeexplore.ieee.org
As Information, Communications, and Data Technology (ICDT) are deeply integrated, the
research of 6G gradually rises. Meanwhile, federated learning (FL) as a distributed artificial …