This article discusses the potential for using federated learning (FL) and distributed learning (DL) techniques in the Internet of Things (IoT) to address challenges related to privacy, security, scalability, and data handling. The Special Issue seeks to bring together researchers and engineers to address these challenges and explore the use of FL and DL in the IoT.
