A Development of Clustered Edge Subjected Trust Assessment in Federated Learning (FL) Assisted Digital Twin based Internet of Things Environment

Federated Learning (FL) is a form of decentralized machine learning that allows multiple devices to collaborate on creating a single overarching model while keeping their respective data completely private. CETFDI outlines the architecture of advanced IoT networks in B5G areas. The main components of CETFDI are: Clustered Network Formation (CNF), Edge Subject Learning (ESL), Secured Blockchain Model (SBM) and FL. ESL employs the use of GAN to evaluate the trust levels between different devices within an edge network and this helps to strengthen the access control mechanisms. The use of OFDMA within the blockchain component provides secure data transmission and allows for fast, reliable transactions that are conducted using smart contracts.