Anomaly traffic detection based on communication-efficient federated learning in space-air-ground integration network

H Xu, S Han, X Li, Z Han - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
… The aerial vehicle network can provide services for special… access network through
multi-satellite cooperation for the whole integration network, and dynamically provide cell-like access

[HTML][HTML] Over-the-air federated learning: Status quo, open challenges, and future directions

B Xiao, X Yu, W Ni, X Wang, HV Poor - Fundamental Research, 2024 - Elsevier
federated learning (OTA-FL), leveraging the superposition feature of multi-access channels
(MACs), enables users at the network … , including single-antenna OTA-FL, multi-antenna OTA-…

Simultaneous wireless information and power transfer assisted federated learning via nonorthogonal multiple access

Y Wu, Y Song, T Wang, M Dai… - … and Networking, 2022 - ieeexplore.ieee.org
… Abstract—Federated learning (FL) has been considered as a promising approach for …
learning without sacrificing edge-devices’ (EDs’) data privacy. However, training machine learning (…

Joint coverage and resource allocation for federated learning in UAV-enabled networks

M Yahya, S Maghsudi - … Communications and Networking …, 2022 - ieeexplore.ieee.org
federated learning (FL) has emerged as a promising learning paradigm in the unmanned
aerial … in uplink OFDM systems for broadband wireless access networks,” IEEE Journal on …

User scheduling for federated learning through over-the-air computation

X Ma, H Sun, Q Wang, RQ Hu - 2021 IEEE 94th Vehicular …, 2021 - ieeexplore.ieee.org
… We consider an AirComp system with M edge devices, each with a single antenna connected
to the PS that is equipped with N antennas. Multiple edge devices are allowed to transmit …

Energy-efficient multiprocessor-based computation and communication resource allocation in two-tier federated learning networks

R Ruby, H Yang, FAP De Figueiredo… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
learning model caused by the non-independent and identically distributed (IID) data, we here
consider a two-tier FL network, … middle tier are the low altitude aerial platforms (UAVs), and …

Deploying federated learning in large-scale cellular networks: Spatial convergence analysis

Z Lin, X Li, VKN Lau, Y Gong… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
… (see eg, [24], [25]), and most recently unmanned aerial vehicle networks [26]. Most existing
… To be specific, the considered networks aim at providing generic radio-access services to …

Mobility-Aware Federated Learning-based Proactive UAVs Placement in Emerging Cellular Networks

S Manzoor, M Hasna, MZ Shakir - Authorea Preprints, 2024 - techrxiv.org
… use of unmanned aerial vehicles (UAVs) to assist the traditional ground network and provide
… Chen, “Edge caching in multiuav-enabled radio access networks: 3d modeling and spectral …

Federated learning in vehicular networks: Opportunities and solutions

J Posner, L Tseng, M Aloqaily, Y Jararweh - IEEE Network, 2021 - ieeexplore.ieee.org
… local training and updating a shared machine learningnetwork concept, namely a Federated
Vehicular Network (FVN), which can be viewed as a robust distributed vehicular network

A fairness-enhanced federated learning scheduling mechanism for UAV-assisted emergency communication

C Zhu, Y Shi, H Zhao, K Chen, T Zhang, C Bao - Sensors, 2024 - mdpi.com
… The use of federated learning (FL) in this scenario can facilitate communication … flexible
mobility and large communication radius of unmanned aerial vehicles (UAVs) make them ideal …