… It is to be noted that any resourceconstrained device could be a server in an IoT environment;
… implementation of FL in an IoT environment, where the IoT nodes are considered as clients …

… of federated learning for IoT. We also identify seven challenges that act as the key barriers to
enabling FL for IoT … to inspire new research at the intersection of federated learning and IoT. …

… of modern IoT networks and growing data privacy concerns. Federated Learning (FL) has …
enable many intelligent IoT applications, by allowing for AI training at distributed IoT devices …

… machine learning, it has still privacy concerns. In this paper, first, we present the recent
advances of federated learning towards enabling federated learning-powered IoT applications. A …

… However, achieving learning models capable of handling any situation is a challenging
task… This paper proposes a Federated Learning solution to manage different IoT environments …

… architecture for intelligent IoT applications. To cope with the heterogeneity issues in IoT
environments, we investigate emerging personalized federated learning methods which are able …

… In order to estimate the effects of system heterogeneity in federated IoT networks, we set a
threshold for the number of stragglers to have a controlled environment and keep the testing …

… We compared all federated learning frameworks and … However, they already allow performance
of federated learning … The results of the evaluation of the federated learning frameworks…

… Federated learning (FL), which is regarded as a privacy-… IoT environment. In this article,
we start with background and comparison of centralized learning, distributed on-site learning, …

… federated learning in distributed environment have been analysed. The Federated-learning …
basis of federated learning and block-chain in IoT platform. For rectifying the complication of …