Security and privacy on 6g network edge: A survey

B Mao, J Liu, Y Wu, N Kato - IEEE communications surveys & …, 2023 - ieeexplore.ieee.org
To meet the stringent service requirements of 6G applications such as immersive cloud
eXtended Reality (XR), holographic communication, and digital twin, there is no doubt that …

Distributed learning in wireless networks: Recent progress and future challenges

M Chen, D Gündüz, K Huang, W Saad… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
The next-generation of wireless networks will enable many machine learning (ML) tools and
applications to efficiently analyze various types of data collected by edge devices for …

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 …

6G-enabled edge AI for metaverse: Challenges, methods, and future research directions

L Chang, Z Zhang, P Li, S Xi, W Guo… - Journal of …, 2022 - ieeexplore.ieee.org
Sixth generation (6G) enabled edge intelligence opens up a new era of Internet of
everything and makes it possible to interconnect people-devices-cloud anytime, anywhere …

A comprehensive survey on machine learning-based big data analytics for IoT-enabled smart healthcare system

W Li, Y Chai, F Khan, SRU Jan, S Verma… - Mobile networks and …, 2021 - Springer
The outbreak of chronic diseases such as COVID-19 has made a renewed call for providing
urgent healthcare facilities to the citizens across the globe. The recent pandemic exposes …

[HTML][HTML] Federated learning for 6G: Applications, challenges, and opportunities

Z Yang, M Chen, KK Wong, HV Poor, S Cui - Engineering, 2022 - Elsevier
Standard machine-learning approaches involve the centralization of training data in a data
center, where centralized machine-learning algorithms can be applied for data analysis and …

Artificial intelligence as a disruptive technology—a systematic literature review

VD Păvăloaia, SC Necula - Electronics, 2023 - mdpi.com
The greatest technological changes in our lives are predicted to be brought about by
Artificial Intelligence (AI). Together with the Internet of Things (IoT), blockchain, and several …

Big data management algorithms, deep learning-based object detection technologies, and geospatial simulation and sensor fusion tools in the internet of robotic …

M Andronie, G Lăzăroiu, M Iatagan, I Hurloiu… - … International Journal of …, 2023 - mdpi.com
The objective of this systematic review was to analyze the recently published literature on
the Internet of Robotic Things (IoRT) and integrate the insights it articulates on big data …

Reconfigurable-intelligent-surface empowered wireless communications: Challenges and opportunities

X Yuan, YJA Zhang, Y Shi, W Yan… - IEEE wireless …, 2021 - ieeexplore.ieee.org
Reconfigurable intelligent surfaces (RISs) are regarded as a promising emerging hardware
technology to improve the spectrum and energy efficiency of wireless networks by artificially …

Artificial intelligence techniques in finance and financial markets: a survey of the literature

C Milana, A Ashta - Strategic Change, 2021 - Wiley Online Library
Both academic and nonacademic literature is evolving following the oscillating development
of artificial intelligence (AI) and computing power's evolution in their application to finance …