Toward smart society innovations through federated learning: enabling privacy-preserving and decentralized intelligence
Christos Sad, Dimosthenis Masouros, George Retsinas, Charalampos Marantos, Kostas Siozios · 2025
In recent years, smart cities equipped with various automation technologies have rapidly emerged. A wide range of approaches leveraging sensors and Internet of Things (IoT) devices, in combination with machine learning (ML) and deep learning (DL) models, have been introduced to automate and optimize everyday processes. Moreover, ML techniques are increasingly being adopted to address global challenges, including energy crises and environmental sustainability, thereby contributing to efforts against climate change.