… networks. In this article, we investigate the application of MEC-empowered AANs (also known
as aerial computing) for federated learning (FL)… solutions to mobile edge networks. We first …

… ABSTRACT The use of Unmanned Aerial Vehicles (UAVs) for wireless networks is rapidly
growing as key enablers of new applications, including: surveillance and monitoring, military, …

… Since the number of UAVs considered in our scenarios is small and single-antenna
arrangements are assumed, orthogonal training signals can be used for channel estimation at the …

… 1, this paper considers a UAV-assisted FL network that consists of a single-antenna UAV
and a set K of K single-antenna devices, aiming to collaboratively learn an ML model (eg, …

… training framework to obtain smart remote sensing analytics at the edge devices in the
integrated network … In this article, we propose an asynchronously updating federated learning …

… of sixth generation (6G) network technology, varied … network center to the edge, which makes
unmanned aerial vehicle (UAV) a hot spot to provide auxiliary services of machine learning …

… learning for UAVs. • We investigate a consortium blockchain network for decentralized data
training… for resource-limited UAVs in federated learning through immutable ledgers, mutual …

… First, we introduce air-to-air (A2A) FL, where the training process happens within the aerial
networks only. One typical example is the FL framework proposed in [4], which enables FL …

… point of failure and are inappropriate to UAV networks with both unreliable nodes and links.
… Federated Learning for UAV Networks (DFL-UN), which enables FL within UAV networks …

… in space, aerial networks, and terrestrial networks is an advanced … with centralized learning
or distributed learning, federated learning has the following advantages: • Federated learning …