A survey of network automation for industrial internet-of-things toward industry 5.0

HR Chi, CK Wu, NF Huang, KF Tsang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Network automation has been bred by the deployment of 5G based Industrial Internet-of-
Things (IIoT) in Industry 4.0, and further approaching pervasive AI and human-robot …

Media production using cloud and edge computing: Recent progress and NBMP-based implementation

Y Xu, J Yin, Q Yang, L Yang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Media production is facing tremendous challenges during processing and transmission, due
to large data volume, high computational complexity and real-time transmission …

FLIBD: A federated learning-based IoT big data management approach for privacy-preserving over Apache Spark with FATE

A Karras, A Giannaros, L Theodorakopoulos… - Electronics, 2023 - mdpi.com
In this study, we introduce FLIBD, a novel strategy for managing Internet of Things (IoT) Big
Data, intricately designed to ensure privacy preservation across extensive system networks …

Tactile internet of federated things: Toward fine-grained design of FL-based architecture to meet TIoT demands

O Alnajar, A Barnawi - Computer Networks, 2023 - Elsevier
Abstract The Tactile Internet of Things (TIoT) represents a special class of the Internet of
Things (IoT) that has opened the door for a new generation of agile, highly dynamic …

Federated Learning: A Cutting-Edge Survey of the Latest Advancements and Applications

A Akhtarshenas, MA Vahedifar, N Ayoobi… - arXiv preprint arXiv …, 2023 - arxiv.org
In the realm of machine learning (ML) systems featuring client-host connections, the
enhancement of privacy security can be effectively achieved through federated learning (FL) …

Energy efficiency and throughput maximization using millimeter waves–microwaves HetNets

S Jamil, MU Rahman, J Tanveer, A Haider - Electronics, 2022 - mdpi.com
The deployment of millimeter waves can fulfil the stringent requirements of high bandwidth
and high energy efficiency in fifth generation (5G) networks. Still, millimeter waves …

Review on Federated Learning for digital transformation in healthcare through big data analytics

M Babar, B Qureshi, A Koubaa - Future Generation Computer Systems, 2024 - Elsevier
Abstract In recent years, Big Data Analytics (BDA) and Federated Learning (FL) have
become increasingly essential in healthcare, potentially revolutionizing patient care and …

[PDF][PDF] Efficient resource slicing scheme for optimizing federated learning communications in software-defined IoT networks

P Tam, S Math, S Kim - Journal of Internet Computing and Services, 2021 - jics.or.kr
With the broad adoption of the Internet of Things (IoT) in a variety of scenarios and
application services, management and orchestration entities require upgrading the …

Physical key generation using modified discrete wavelet transforms for the Internet of Things

R Sharma, P Jindal, B Singh - International Journal of …, 2024 - journal.uob.edu.bh
Security and privacy of data are important factors in the Internet of Things (IoT), which
enables safe communication with emerging objects. The non-standardization of security …

[Retracted] Intelligent Offloading Decision and Resource Allocations Schemes Based on RNN/DQN for Reliability Assurance in Software‐Defined Massive Machine …

S Math, P Tam, DY Kim, S Kim - Security and Communication …, 2022 - Wiley Online Library
The heterogeneous novelty applications present in the 5th generation (5G) era, including
machine‐type communication (mMTC), enhanced mobile broadband (eMBB) …