A lightweight edge AI framework that employs federated learning, enabling model training across distributed Internet of People and Things (IoP) devices without transferring raw data to centralised servers is proposed, enabling responsive, privacy-preserving, and resilient edge AI operations in distributed environments.
F. Philip-Kpae, A. Imoize, Lloyd Endurance Ogbondamati et al.· E3S Web of Conferences· 0 citations