… distributed machine learning technique for developing models for wireless networks in …
reflecting surface (IRS) for aerialterrestrial integrated networks without a central server. The …

… -based secure federated learning framework that combines … problem in fog wireless access
networks. Considering the NP… His research interests are unmanned aerial vehicles system, …

… A closely related scenario is FL in unmanned aerial vehicle (UAV) networks [10]. However,
there are subtle but significant differences. While the trajectories of UAVs can be controlled …

… network interference. To accurately exploit the performance of FL over wireless networks, …
over a cellular-connected Unmanned Aerial Vehicle (UAV) network, which characterizes …

… Then to achieve optimal policy and reduce the overall energy consumption of the system,
we propose a multi-agent federated reinforcement learning (MAFRL) scheme. Simulation …

… produce greater accuracy and quicker federation execution time than existing … on federated
learning [6]. This article examines the problem of resource allocation for federated learning …

… Therefore, the federated learning (FL) approach which can share the model parameters
of NNs at drones, is proposed with NN based MFG to satisfy the required conditions. The …

… devices is necessary for a successful deployment of FL over wireless networks [4], [5]. Aerial
access networks (AAN) and multi-access edge computing (MEC) have been recognized as …

… Therefore, in this paper we have proposed a federated learning based distributed approach
in an SDN environment to thwart data breach that can plague satellite-IoT framework with …

… To overcome this privacy issue, the concept of federated learning (FL) has been proposed
… swarm network consisting of one singleantenna BS and a swarm of K single-antenna micro …