Federated learning for internet of things: A comprehensive survey

DC Nguyen, M Ding, PN Pathirana… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …

Towards 6G wireless communication networks: Vision, enabling technologies, and new paradigm shifts

X You, CX Wang, J Huang, X Gao, Z Zhang… - Science China …, 2021 - Springer
The fifth generation (5G) wireless communication networks are being deployed worldwide
from 2020 and more capabilities are in the process of being standardized, such as mass …

6G and beyond: The future of wireless communications systems

IF Akyildiz, A Kak, S Nie - IEEE access, 2020 - ieeexplore.ieee.org
6G and beyond will fulfill the requirements of a fully connected world and provide ubiquitous
wireless connectivity for all. Transformative solutions are expected to drive the surge for …

Deep learning for safe autonomous driving: Current challenges and future directions

K Muhammad, A Ullah, J Lloret… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Advances in information and signal processing technologies have a significant impact on
autonomous driving (AD), improving driving safety while minimizing the efforts of human …

6G for vehicle-to-everything (V2X) communications: Enabling technologies, challenges, and opportunities

M Noor-A-Rahim, Z Liu, H Lee, MO Khyam… - Proceedings of the …, 2022 - ieeexplore.ieee.org
We are on the cusp of a new era of connected autonomous vehicles with unprecedented
user experiences, tremendously improved road safety and air quality, highly diverse …

Intelligent transportation system for internet of vehicles based vehicular networks for smart cities

P Rani, R Sharma - Computers and Electrical Engineering, 2023 - Elsevier
A popular research area is internet traffic analysis as it has many applications, mainly for
classifying internet traffic. Innovative technologies have been developed for predicting and …

Machine learning for 6G wireless networks: Carrying forward enhanced bandwidth, massive access, and ultrareliable/low-latency service

J Du, C Jiang, J Wang, Y Ren… - IEEE Vehicular …, 2020 - ieeexplore.ieee.org
To satisfy the expected plethora of demanding services, the future generation of wireless
networks (6G) has been mandated as a revolutionary paradigm to carry forward the …

Quantum machine learning for 6G communication networks: State-of-the-art and vision for the future

SJ Nawaz, SK Sharma, S Wyne, MN Patwary… - IEEE …, 2019 - ieeexplore.ieee.org
The upcoming fifth generation (5G) of wireless networks is expected to lay a foundation of
intelligent networks with the provision of some isolated artificial intelligence (AI) operations …

[HTML][HTML] Ethical principles in machine learning and artificial intelligence: cases from the field and possible ways forward

S Lo Piano - Humanities and Social Sciences Communications, 2020 - nature.com
Decision-making on numerous aspects of our daily lives is being outsourced to machine-
learning (ML) algorithms and artificial intelligence (AI), motivated by speed and efficiency in …

Spectrum sharing in vehicular networks based on multi-agent reinforcement learning

L Liang, H Ye, GY Li - IEEE Journal on Selected Areas in …, 2019 - ieeexplore.ieee.org
This paper investigates the spectrum sharing problem in vehicular networks based on multi-
agent reinforcement learning, where multiple vehicle-to-vehicle (V2V) links reuse the …