Characterization of the global bias problem in aerial federated learning

R Zhagypar, N Kouzayha, H ElSawy… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) mobility enables flexible and customized federated
learning (FL) at the network edge. However, the underlying uncertainties in the aerial …
被引用次数：8 相关文章

Characterization of the Global Bias Problem in Aerial Federated Learning

R Zhagypar, N Kouzayha, H ElSawy, H Dahrouj… - arXiv preprint arXiv …, 2022 - arxiv.org
Unmanned aerial vehicles (UAVs) mobility enables flexible and customized federated
learning (FL) at the network edge. However, the underlying uncertainties in the aerial …

Characterization of the Global Bias Problem in Aerial Federated Learning

R Zhagypar, N Kouzayha, H ElSawy… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Unmanned aerial vehicles (UAVs) mobility enables flexible and customized federated
learning (FL) at the network edge. However, the underlying uncertainties in the aerial …
[PDF] kaust.edu.sa

[PDF][PDF] Characterization of the Global Bias Problem in Aerial Federated Learning

R Zhagypar, NH Kouzayha, H ElSawy, H Dahrouj… - 2022 - repository.kaust.edu.sa
Unmanned aerial vehicles (UAVs) mobility enables flexible and customized federated
learning (FL) at the network edge. However, the underlying uncertainties in the aerial …

[引用][C] Characterization of the Global Bias Problem in Aerial Federated Learning

R Zhagypar, NH Kouzayha, H Elsawy… - 2023 - Institute of Electrical and Electronics …