Toward self-learning edge intelligence in 6G

Y Xiao, G Shi, Y Li, W Saad… - IEEE Communications …, 2020 - ieeexplore.ieee.org
Edge intelligence, also called edge-native artificial intelligence (AI), is an emerging
technological framework focusing on seamless integration of AI, communication networks …

Edge artificial intelligence for 6G: Vision, enabling technologies, and applications

KB Letaief, Y Shi, J Lu, J Lu - IEEE Journal on Selected Areas …, 2021 - ieeexplore.ieee.org
The thriving of artificial intelligence (AI) applications is driving the further evolution of
wireless networks. It has been envisioned that 6G will be transformative and will …

Intelligence-empowered mobile edge computing: Framework, issues, implementation, and outlook

K Jiang, C Sun, H Zhou, X Li, M Dong… - IEEE Network, 2021 - ieeexplore.ieee.org
Recently, artificial intelligence (AI) is undergoing a sustained success renaissance as it can
substantially improve networks' cognitive performance and intelligence, thereby contributing …

Toward an intelligent edge: Wireless communication meets machine learning

G Zhu, D Liu, Y Du, C You, J Zhang… - IEEE communications …, 2020 - ieeexplore.ieee.org
The recent revival of AI is revolutionizing almost every branch of science and technology.
Given the ubiquitous smart mobile gadgets and IoT devices, it is expected that a majority of …

Pushing AI to wireless network edge: An overview on integrated sensing, communication, and computation towards 6G

G Zhu, Z Lyu, X Jiao, P Liu, M Chen, J Xu, S Cui… - Science China …, 2023 - Springer
Pushing artificial intelligence (AI) from central cloud to network edge has reached board
consensus in both industry and academia for materializing the vision of artificial intelligence …

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 …

6G white paper on edge intelligence

E Peltonen, M Bennis, M Capobianco… - arXiv preprint arXiv …, 2020 - arxiv.org
In this white paper we provide a vision for 6G Edge Intelligence. Moving towards 5G and
beyond the future 6G networks, intelligent solutions utilizing data-driven machine learning …

[PDF][PDF] EdgeAI: A vision for distributed, edge-native artificial intelligence in future 6G networks

L Lovén, T Leppänen, E Peltonen, J Partala… - 6G Wireless Summit …, 2019 - oulurepo.oulu.fi
Edge computing, a key part of the upcoming 5G mobile networks and future 6G
technologies, promises to distribute cloud applications while providing more bandwidth and …

Inexact-ADMM based federated meta-learning for fast and continual edge learning

S Yue, J Ren, J Xin, S Lin, J Zhang - Proceedings of the Twenty-second …, 2021 - dl.acm.org
In order to meet the requirements for performance, safety, and latency in many IoT
applications, intelligent decisions must be made right here right now at the network edge …

UAVs as an intelligent service: Boosting edge intelligence for air-ground integrated networks

C Dong, Y Shen, Y Qu, K Wang, J Zheng, Q Wu… - IEEE …, 2021 - ieeexplore.ieee.org
The air-ground integrated network is a key component of future sixth generation (6G)
networks to support seamless and near-instant super-connectivity. There is a pressing need …