… of federated learning (FL) is investigated in an energy harvesting wireless network in which
… a set of users powered by independent energy harvesting sources. Since a certain number …

… Indeed, because of these resource constraints, it is necessary to optimize the energy
efficiency for FL implementation. Some of the challenges of FL over wireless networks have been …

… consider federated edge learning among mobile devices that harvest the required energy
from … from their surroundings [20], have been widely considered for mobile networks. These …

… a single-cell wireless network for FL tasks, where one edge server equipped with a single-antenna
access point communicates with K singleantenna edge devices via wireless links, …

… of federated learning (FL) is investigated in an energy harvesting wireless network in which
… set of users powered by independent energy harvesting sources to cooperatively perform FL. …

… federated learning approach. First, we design a federated-learning-based malicious energy
user detection method according to energy status and behaviors to provide energy security …

… learning accuracy level, and thus (ii) between the Federated Learning time and UE energy
consumption… We fill this gap by formulating a Federated Learning over wireless network as an …

… We note that the consideration of energy harvesting (EH) from stochastic sources for FL
is … The application of aerial communications for FL-enabled wireless networks has been …

… training process. In this paper, we propose an age-aware communication strategy for federated
learning over wireless networks, by … fast and accurate model training. Numerical results …

… in the construction of the shared learning models. To handle this … power transfer in the
FL-based wireless network and a resource allocation scheme to manage the network’s power …