… learning (ML) methodology, federated learning (FL) [3], we propose a novel framework of
air-ground integrated federated learning (… FL is a distributed learning architecture that enables …

… CONCLUSION In this article, we have investigated how to decrease the total federal
learning latency while ensuring transmission security in urban sensor AGIFL networks. We …

… federated learning for computation offloading in a separated section as the federated learning
… As the optimization tool, federated learning is considered the optimizer for designing the …

… due to its flexibility, mobility, and agility in the air-ground integrated network (AGIN) [8]. UAVs
… for terrestrial users, thereby building the air-ground integrated federated learning (AGIFL) [2]…

… Zhang, “Privacy-preserving traffic flow prediction: A federated learning approach,” IEEE …
Zhang, “Incentive mechanism for reliable federated learning: A joint optimization approach to …

… we propose to leverage the popular federated learning to train a global shared … ground-air-space
topology naturally forms the star structure, we integrate the standard federated learning …

… Secondly, unlike the A2A federated learning within the aerial … is termed as ground to air (G2A)
federated learning in this work… the need of collaborative learning model training of multiple …

… Based on machine learning and deep learning, we propose a semi-supervised learning …
Finally, we build a collaborative federated learning architecture for anomaly traffic detection …

… devices for machine learning (ML) model training. Utilizing the satellite as the central server,
federated learning (FL) offers a promising strategy for distributed training with enhanced …

… Recently, distributed ML techniques, such as Federated Learning (FL) have gained huge …
Gaining from recently introduced 3D architectures, integrating terrestrial and aerial edge …