Feb 7, 2024 · Through data-driven insights and automation, it tackles the necessity for sustainable resource management, enhancing productivity and resilience ...

Feb 26, 2024 · emerges as a vital solution by integrating advanced technologies to optimize agricultural practices. Through data-driven insights and ...

Mar 5, 2024 · Then, a novel decentralized federated learning-based solution is proposed to solve the problem. Simulation results show the effectiveness of ...

Feb 7, 2024 · AoI-Aware Energy-Efficient SFC in UAV-Aided Smart Agriculture Using Asynchronous Federated Learning ... (AoI) and total network energy consumption.

In this paper, we consider a decentralized UAV-aided MEC system in which the NFV-enabled processing nodes manage the computational tasks. To be more specific, ...

Apr 25, 2024 · AoI-Aware Energy-Efficient SFC in UAV-Aided Smart Agriculture Using Asynchronous Federated Learning. ... Aware Offloading in Smart Farm IoT-UAV ...

Apr 25, 2024 · AoI-Aware Energy-Efficient SFC in UAV-Aided Smart Agriculture Using Asynchronous Federated Learning. ... Aware Offloading in Smart Farm IoT-UAV ...

Akbari, Mohammad, et al. "AoI-Aware Energy-Efficient SFC in UAV-Aided Smart Agriculture Using Asynchronous Federated Learning." IEEE Open Journal of the ...

This paper introduces a multi-objective maximization problem and a Q-Learning based method which aim to process these tasks before their deadline while ...

This paper presents an asynchronous federated learning framework with a proposed adaptive weight aggregation algorithm, referred to as AsyncFedED, ...