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 …
Things (IoT) that has opened the door for a new generation of agile, highly dynamic …
TactiFlex: A Federated learning-enhanced in-content aware resource allocation flexible architecture for Tactile IoT in 6G networks
O Alnajar, A Barnawi - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Abstract The Tactile Internet of Things (TIoT) is transforming the landscape of real-time
applications by enabling haptic interactions and immersive experiences. This paper …
applications by enabling haptic interactions and immersive experiences. This paper …
Federated learning for internet of things: A comprehensive survey
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 …
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …
Federated learning for green and sustainable 6G IIoT applications
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 …
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
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 …
the way to a myriad of intelligent applications in several vertical domains. Federated …
Federated learning based on CTC for heterogeneous internet of things
Federated learning (FL) is a machine learning technique that allows for on-site data
collection and processing without sacrificing data privacy and transmission. Heterogeneity is …
collection and processing without sacrificing data privacy and transmission. Heterogeneity is …
Federated learning for the internet of things: Applications, challenges, and opportunities
Billions of IoT devices will be deployed in the near future, taking advantage of faster Internet
speed and the possibility of orders of magnitude more endpoints brought by 5G/6G. With the …
speed and the possibility of orders of magnitude more endpoints brought by 5G/6G. With the …
[HTML][HTML] A Comprehensive Overview of IoT-Based Federated Learning: Focusing on Client Selection Methods
The integration of the Internet of Things (IoT) with machine learning (ML) is revolutionizing
how services and applications impact our daily lives. In traditional ML methods, data are …
how services and applications impact our daily lives. In traditional ML methods, data are …
Federated learning for industrial internet of things in future industries
The Industrial Internet of Things (IIoT) offers promising opportunities to revolutionize the
operation of industrial systems and become a key enabler of future industries. Recently …
operation of industrial systems and become a key enabler of future industries. Recently …
Management of digital twin-driven IoT using federated learning
Internet of Things (IoT), Digital Twin (DT), and Federated Learning (FL) are redefining the
future vision of globalization. While IoT is about sensing data from physical devices, DTs …
future vision of globalization. While IoT is about sensing data from physical devices, DTs …