Edge-cloud polarization and collaboration: A comprehensive survey for ai
Influenced by the great success of deep learning via cloud computing and the rapid
development of edge chips, research in artificial intelligence (AI) has shifted to both of the …
development of edge chips, research in artificial intelligence (AI) has shifted to both of the …
Edge learning for B5G networks with distributed signal processing: Semantic communication, edge computing, and wireless sensing
To process and transfer large amounts of data in emerging wireless services, it has become
increasingly appealing to exploit distributed data communication and learning. Specifically …
increasingly appealing to exploit distributed data communication and learning. Specifically …
Blockchain-based federated learning in UAVs beyond 5G networks: A solution taxonomy and future directions
Recently, unmanned aerial vehicles (UAVs) have gained attention due to increased use-
cases in healthcare, monitoring, surveillance, and logistics operations. UAVs mainly …
cases in healthcare, monitoring, surveillance, and logistics operations. UAVs mainly …
AI-enabled UAV communications: Challenges and future directions
Recently, unmanned aerial vehicles (UAVs) communications gained significant
concentration as a talented technology for future wireless communications using its …
concentration as a talented technology for future wireless communications using its …
Incentivizing proof-of-stake blockchain for secured data collection in UAV-assisted IoT: A multi-agent reinforcement learning approach
The Internet of Things (IoT) can be conveniently deployed while empowering various
applications, where the IoT nodes can form clusters to finish certain missions collectively. In …
applications, where the IoT nodes can form clusters to finish certain missions collectively. In …
Learning to routing in UAV swarm network: A multi-agent reinforcement learning approach
The past few years have witnessed an exponential growth of compelling UAV swarm
applications ranging from agricultural production, and intelligent transport, to disaster …
applications ranging from agricultural production, and intelligent transport, to disaster …
Robust semisupervised federated learning for images automatic recognition in Internet of Drones
Air access networks have been recognized as a significant driver of various Internet of
Things (IoT) services and applications. In particular, the aerial computing network …
Things (IoT) services and applications. In particular, the aerial computing network …
Federated learning via unmanned aerial vehicle
Federated learning (FL) has emerged as a promising alternative to centralized machine
learning for exploiting large amounts of data generated by networks while ensuring data …
learning for exploiting large amounts of data generated by networks while ensuring data …
Exploiting UAV for air–ground integrated federated learning: A joint UAV location and resource optimization approach
Y Jing, Y Qu, C Dong, W Ren, Y Shen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Recently, many exciting usage scenarios and groundbreaking technologies for sixth
generation (6G) networks have drawn more and more attention. The revolution of 6G mainly …
generation (6G) networks have drawn more and more attention. The revolution of 6G mainly …