AI-Driven Intrusion Detection for the Internet of Things: A Scoping Review of Federated Learning, Privacy-Preserving Architectures, and Edge Deployability

Gilbert Imuetinyan Osaze Aimufua & Godwin Agbonkhese* DOI: 10.5281/zenodo.21590977 SSR Journal of Artificial Intelligence (SSRJAI) Federated learning has emerged as the dominant architectural response to the privacy and communication constraints of centralised intrusion detection in Internet of Things environments, yet Read More …

Federated Deep Reinforcement Learning Framework for Intelligent Traffic Management Using AI-Driven IoT Edge Systems

Mgbeafulike Ike Joseph1,  Okeke Ogochukwu Clementina1, Osita Miracle Nwakeze1, Uju Cynthia Nwabudike2, Omorogie Michael2 and Nwabudike uche Charles1 DOI: 10.5281/zenodo.21129230 SSR Journal of Engineering and Technology (SSRJET) In the modern urban context, traffic congestion is a significant problem that can Read More …

Design and Implementation of Adaptive Personalized Differential Privacy in Federated Learning

Prof. Akomolafe D.T. and Giwa Jesuloluwa Emmanuel DOI: 10.5281/zenodo.19734376 SSR Journal of Engineering and Technology (SSRJET) Federated Learning enables collaborative model training across distributed clients while keeping raw data local, making it attractive for privacy sensitive domains such as healthcare, Read More …