TY  - GEN 
AU  - Morcillo-Jimenez, Roberto
AU  - Rivas Bravo, María José
AU  - Ruiz Jiménez, María Dolores
AU  - Martin-Bautista, Maria J.
AU  - Fernandez-Basso, Carlos
PY  - 2025
UR  - https://hdl.handle.net/10481/107548
AB  - Federated Learning (FL) has emerged as a promising paradigm to enable privacy-preserving machine learning across distributed IoT devices. This work relies on SimulaFed, a container-based in-simulation framework for FL that is readily applicable to IoT...
LA  - eng
PB  - Elsevier
KW  - Federated learning
KW  - Internet of Things (IoT)
KW  - Smart offices
TI  - Privacy-preserving energy analytics in smart offices via container-based Federated Learning
DO  - 10.1016/j.iot.2025.101782
ER  -