Federated edge learning (FL), as an emerging distributed machine learning paradigm, allows a mass of edge devices to collaboratively train a global model while preserving …
C Xu, C Zhang, Y Huang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Currently, there is a growing trend in deploying ubiquitous artificial intelligence (AI) applications at the network edge. As a promising framework that enables secure edge …
Federated learning (FL) is an emerging machine learning paradigm for training models across multiple edge devices holding local data sets, without explicitly exchanging the data …
L Xu, S Cao, X Li, TA Gulliver - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
The number of mobile users and applications is rising quickly due to the deployment of fifth- generation (5G) communication technology. The prevalence of smart devices and Internet of …
S Asaad, H Tabassum, C Ouyang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Over-the-air federated learning (OTA-FL) is an emerging technique to reduce the computation and communication overload caused by the orthogonal transmissions of the …