Federated Learning (FL) has emerged as a pivotal approach for decentralized Machine
Learning (ML), addressing the unique demands of the Internet of Things (IoT) environments …

Abstract In Mobile Edge Computing, the framework of federated learning can enable
collaborative learning models across edge nodes, without necessitating the direct exchange …

Farmers may suffer considerable financial losses due to guava leaf infections, notably in
India, where guava planting is common. This study uses federated learning and …

The study suggested a multi-classification method using a federated convolutional neural
network (CNN) for five distinct categories of historic buildings. Due to the federated design …

Leaf infections are a persistent problem in strawberry agriculture, an agricultural sector with
significant economic importance. Five primary kinds of leaf diseases significantly reduce …

Tremendous growth of electronic finance arrived concurrently with financial fraud, in turn,
requiring the adoption of altered methods of fraud detection. This research work is …

The purpose of this research paper is to investigate an innovative application of federated
learning with convolutional neural networks (CNN) for the classification of tea leaf diseases …

This study tries to marry Convolutional Neural Networks (CNN) and Support Vector Machine
(SVN) techniques to form a very advanced gun identification system. The system's unique …

This paper uses federated learning and a Convolutional Neural Network (CNN) to present a
new case study in the categorization of jackfruit leaf disease. Information from four …

This article presented a new hybrid modular framework incorporating IoT technologies and
blockchain. One of the proposed framework's main goals is to eliminate the flaws related to …