… In this paper, we have proposed a new wireless federated learning protocol named
FedPCC to optimize the convergence rate of FL wrt time. FedPCC makes full use of the parallelism …

… 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…

… Recently, in light of increasingly stringent data privacy legislations and growing privacy
concerns, the concept of Federated Learning (FL) has been introduced. In FL, end devices use …

… devices with intelligent adaptive learning and reduce expensive traffic in SatCom, we
propose federated learning (FL) in LEO-based satellite communication networks. We first review …

… As first formulated in [10], federated learning proceeds in two … Implementation of federated
learning in MEC networks suffers … Additionally, federated learning suffers from wireless link …

… the communication bottleneck for wireless federated learning applications by exploiting …
learning algorithm design due to the nonstationary local gradients and the timevarying wireless …

… Abstract—We study federated learning (FL) at the wireless … a bandwidth-limited shared
wireless channel. At each iteration of … We then establish convergence of a wireless FL algorithm …

… Federated Learning (FL) models are using a star network … This article proposes a novel edge
network architecture that … Out of these distributed learning schemes, Federated Learning (FL…

… )-empowered wireless power transfer to enable sustainable FL-based wireless networks. …
data privacy in conventional deep learning, the concept of federated learning (FL) has been …

… to use conventional centralized training methods in wireless networks [5]. To address the …
model training framework called Federated Learning (FL) [6], [7]. A typical wireless FL system …