This paper proposes energy-efficient FEI (EE-FEI), an energy-efficient framework, that jointly optimizes multiple key parameters to minimize the overall energy ...
This paper proposes energy-efficient FEI (EE-FEI), an energy-efficient framework, that jointly optimizes multiple key parameters to minimize the overall energy ...
This paper proposes energy-efficient FEI (EE-FEI), an energy-efficient framework, that jointly optimizes multiple key parameters to minimize the overall energy ...
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Mar 5, 2024 · The work in [15] presents a framework that targets to minimize the overall en- ergy consumption of a Federated Edge Intelligence -supported. IoT ...
Apr 5, 2024 · Internet of Things (IoT) generates large amounts of data at the network edge. ... In order to bring more intelligence to edge systems, compared to ...
Nov 25, 2020 · Abstract:This paper studies an edge intelligence-based IoT network in which a set of edge servers learn a shared model using federated ...
Mar 6, 2024 · An edge intelligence-aided Internet-of-Things (IoT) network has been proposed to accelerate the response of IoT services by deploying edge ...
Efficient federated learning algorithm for resource allocation in wireless iot networks ... Energy-efficient federated edge learning with joint ...
An edge intelligence-aided Internet-of-Things (IoT) network has been proposed to accelerate the response of IoT services by deploying edge intelligence near ...
Description. Modern mobile devices and sensors demand low latency, mobility support, energy efficiency, and high bandwidth from back-end cloud-based data ...