A comprehensive review on artificial intelligence/machine learning algorithms for empowering the future IoT toward 6G era

MR Mahmood, MA Matin, P Sarigiannidis… - IEEE …, 2022 - ieeexplore.ieee.org
The evolution of the wireless network systems over decades has been providing new
services to the users with the help of innovative network and device technologies. In recent …

Federated learning for green and sustainable 6G IIoT applications

VK Quy, DC Nguyen, D Van Anh, NM Quy - Internet of Things, 2024 - Elsevier
The 6th generation mobile network (6G) is expected to be launched in the early 2030s. The
architecture of 6G will be the convergence of space, air, ground, and undersea networks …

[HTML][HTML] Scalable and interoperable edge-based federated learning in IoT contexts

C Campolo, G Genovese, G Singh, A Molinaro - Computer Networks, 2023 - Elsevier
The analysis of data coming from massively deployed Internet of Things (IoT) devices pave
the way to a myriad of intelligent applications in several vertical domains. Federated …

12 Collaborative Learning over Wireless Networks: An Introductory Overview

E Ozfatura, D Gündüz, HV Poor - Machine Learning and Wireless …, 2022 - cambridge.org
The number of devices connected to the Internet has already surpassed 1 billion. With the
increasing proliferation of mobile devices, the amount of data collected and transmitted over …

[PDF][PDF] Artificial Intelligence of Things (AIoT) technologies and applications

TW Sung, PW Tsai, T Gaber… - Wireless …, 2021 - salford-repository.worktribe.com
AIoT (Artificial Intelligence of Things) is a relatively new term that has recently become a hot
topic that combines two of the hottest acronyms, AI (Artificial Intelligence) and IoT (Internet of …

The co-evolution of cloud and IoT applications: Recent and future trends

A Chowdhury, G Karmakar… - Handbook of Research …, 2019 - igi-global.com
Internet of things (IoT) is developed to enhance easy communication by creating a large
network of billions and trillions of entities. It serves an important role in future technologies …

A survey of recent advances in edge-computing-powered artificial intelligence of things

Z Chang, S Liu, X Xiong, Z Cai… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) has created a ubiquitously connected world powered by a
multitude of wired and wireless sensors generating a variety of heterogeneous data over …

[图书][B] Federated Learning for IoT Applications

SP Yadav, BS Bhati, DP Mahato, S Kumar - 2022 - Springer
Federated learning has become a new research brand in the field of IoT. Today, we see
gigantic amounts data being generated by end devices such as mobile phones on a daily …

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 …

SLMFed: A stage-based and layer-wise mechanism for incremental federated learning to assist dynamic and ubiquitous IoT

L You, Z Guo, B Zuo, Y Chang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Along with the vast application of Internet of Things (IoT) and the ever-growing concerns
about data protection, a novel type of learning, named incremental federated learning (IFL) …