… 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, …
H Zhang, L Hanzo - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
… 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 …
M Fu, Y Shi, Y Zhou - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
… 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 federatedlearning …
Y Jing, Y Qu, C Dong, Y Shen, Z Wei… - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
… 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 …
Y Wang, Z Su, N Zhang… - … Transactions on network …, 2020 - ieeexplore.ieee.org
… learning for UAVs. • We investigate a consortium blockchain network for decentralized data training… for resource-limited UAVs in federatedlearning 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 …
Y Qu, H Dai, Y Zhuang, J Chen, C Dong, F Wu… - … Network, 2021 - ieeexplore.ieee.org
… point of failure and are inappropriate to UAV networks with both unreliable nodes and links. … FederatedLearning for UAV Networks (DFL-UN), which enables FL within UAV networks …
F Tang, C Wen, X Chen, N Kato - IEEE Network, 2022 - ieeexplore.ieee.org
… in space, aerialnetworks, and terrestrial networks is an advanced … with centralized learning or distributed learning, federatedlearning has the following advantages: • Federatedlearning …