… federatedlearning (AFL) to achieve fast convergence speed and high learning accuracy for multiUAV-enabled wireless networks. The … network consists of N UAVs and K single-antenna …
Y Jing, Y Qu, C Dong, W Ren, Y Shen… - … and Networking, 2023 - ieeexplore.ieee.org
… radio accessnetwork for wireless federatedlearning acceler… based collaborative content caching towards 6g networks,” … -aerial-space networks: An asynchronous federatedlearning …
… Since a directional antenna is adopted at each HAB, the connectivity between a given HAB and a given user can be available for data transmission only if the directional antenna is …
… data privacy in conventional deep learning, the concept of federatedlearning (FL) has been … We consider a network setup with a rotary-wing single-antenna UAV and K single-antenna …
Y Liu, J Nie, X Li, SH Ahmed… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
… To this end, this article proposes a new federatedlearning (FL)-based aerial-ground air … -to-end learning from haze features of haze images taken by unmanned aerial vehicles (UAVs) …
… UAV is data collection from network sites [18]. … network sites and then use the collected data for network upgrading purposes. The application of aerialaccessnetworks for FL networks …
… response network using a proof-of-concept, aerial–terrestrial network … aerial vehicles (UAVs), a lightweight federatedlearning model is proposed to collaboratively yet privately learn …
Q Fang, Z Zhai, S Yu, Q Wu, X Gong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
… [18] propose an FL-based air quality sensing framework in the aerial-ground integrated network, where unmanned aerial vehicles (UAVs) collaboratively monitor the air quality index (…
… to the aerial base … aerial base station. The idea behind DBFL is that if the local clients are not able to directly connect to the aerial base station, they can still perform federatedlearning …