… of jointly optimized communication … optimization problem into two subproblems, ie, the
client scheduling problem and the resource allocation problem. To reduce the communication …

… (ii) between the Federated Learning time and UE energy consumption. We fill this gap by
formulating a Federated Learning over wireless network as an optimization problem FEDL that …

… This study proposed a particle swarm optimization-based FedPSO algorithm to improve the
network communication performance of federated learning and reduce the size of data sent …

… II, we preliminary introduce federated learning and present the problem definition in Section
III. The proposed Edge-based communication optimization method of federated learning is …

… and optimized the batchsize selection and communication resource … communication platform
for supporting FL model transmission. In [15], the authors developed a federated learning …

… optimization task (we consider client-side optimization strategies for their potential to improve
the convergence and communication … as server-based adaptive optimization, client-model …

… Of course, neither of these objectives is what we would optimize for in a practical application.
Nevertheless, given the current lack of experience with issues inherent in large scale …

… Since the compressed local FL models must be transmitted over wireless links, we also
optimize the wireless resource allocation in order to further reduce transmission time. To that aim…

… communication links and limited transmission resources may hinder the implementation of
fast and accurate FL. In this paper, we study joint optimization of communications … optimization …

… In previous works based on federated averaging (FedAvg) algorithm, mobile devices need …
of global communication. Inspired by edge computing, we proposed edge federated learning (…