Federated Learning for Remaining Useful Life Prediction: A Literature Review
Ilias Abdouni, Alexandre Voisin, Christophe Cerisara, Benoît Iung · IFAC-PapersOnLine · 2025
This systematic review examines the application of Federated Learning (FL) in Prognostics and Health Management (PHM). Through a structured analysis of all relevant literature using the PRISMA methodology, we analyze research from major academic databases to investigate the current state of FL frameworks, their application to prognostics tasks, and associated implementation challenges. To the best of our knowledge, this is the first review dedicated to exploring the intersection of FL and PHM. Our findings highlight a growing interest in this domain and reveal that applications remains underexplored. This review aims to provide clear insights into the current landscape and guide future research and practical applications in industrial contexts.