...Shriya Seth; Harshpreet Singh; Suhasini Monga; Durgesh Srivastava; Sangeeta Dhankhar; Mahender Singh Kaswan; Isha Batra Purpose This study aims to propose an Internet of Things (IoT)-based, privacy-preserving Federated Learning (FL) framework for predicting machine failures in Industry 5.0...

...Sayaka Kamei; Sharareh Taghipour Purpose Within physical asset management, current centralized prognostics models face significant barriers due to data privacy concerns, while existing federated learning (FL) approaches often struggle with data heterogeneity across diverse assets. This study...

...-based models with machine learning techniques under a federated learning (FL) paradigm, the framework aims to provide accurate estimation of remaining useful life ( RUL ) for critical components while preserving data confidentiality. Furthermore, a multi-objective optimization layer leverages prognostic...