Data from the Internet of Things (IoT) enables the design of new business models and
services that improve user experience and satisfaction. These data serve as important …

Introduces the merging of the Internet of Things with cutting-edge technology, including
blockchain concepts, machine learning algorithms, and AI-based wireless connectivity …

Abstract As the Internet of Things (IoT) progresses, federated learning (FL), a decentralized
machine learning framework that preserves every participant's data privacy, has grown in …

IoT is an acronym for the Internet of Things, and it refers to the interconnectivity of everyday
objects, including home appliances, wearable devices, vehicles, and industrial equipment …

The primary goal of this dissertation is to understand how to enhance the Internet of Things
by incorporating fifth-generation technology, which is increasing daily. As a result, it is critical …

Data communication through Edge devices in a secured channel for real time applications is
one of the biggest concerns. Software Defined Network is a suitable network opted for …

Abstract In the Web3. 0 era, which does not rely on any centralized organization and
emphasizes user control, security, trustworthiness and the importance of data privacy …

FEDERATED LEARNING FOR PRIVACY-PRESERVING MACHINE LEARNING IN IOT
NETWORKS K Swethan Kumar MCA, PhD Scholar, Computer Science Ap Page 1 Journal of Data …

Federated learning is also called collaborative learning which uses the decentralized
approach to train the machine learning models. Federated learning, a groundbreaking …

Federated learning (FL) allows multiple entities to train a global model collaboratively
without sharing sensitive data, with extensive applications in the IIoT. The security of …