… Federated Learning (FL) — a collaborative machine learning … Green AI is a novel and
important research area where … In this paper, we propose the concept of Green FL, which involves …

… —Federated learning (FL) is a collaborative machine learning framework to enable different
clients such as Internet of Things (IoT) devices to participate in a machine learning … green …

… Federated Learning Several aspects of challenges are involved in the design of federated
learning… related to energy-efficient federated learning, ie for Green Federated Learning (GFL). …

… Federated Learning (FL) is proposed to solve the high computational complexity by training
… To increase the system’s reliability and promote green IoT, Federated Learning (FL) in the …

… To address these challenges, this paper introduces a Federated Learning framework
empowered by the Internet of Things (IoT). The proposed framework integrates with an Intelligent …

… Abstract— The practical deployment of federated learning (FL) over wireless networks …
In this paper, a green-quantized FL framework, which represents data with a finite precision …

… In this study, we develop a two-stage method based on federated learning (FL) and optimization
techniques to predict ship fuel consumption and optimize ship sailing speed. Because …

… , data security and privacy, and learning performance. Among them, federated learning (FL),
as a distributed machine learning framework, has attracted widespread attention from …

… Abstract—Federated learning (FL) enables devices in mobile … To deploy green MEC, we
propose FedGreen, which enhances the … Yonetani, “Client selection for federated learning with …

… survey of 6G IIoT applications based on Federated Learning (FL), starting from introducing
… Finally, we present challenges and open issues for future research to realize green and …