تصفح حسب الموضوع "edge learning"
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Energy-Efficient Device Assignment and Task Allocation in Multi-Orchestrator Mobile Edge Learning
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)Mobile Edge Learning (MEL) is a decentralized learning paradigm that enables resource-constrained IoT devices to either learn a shared model without sharing the data, or to distribute the learning task with the data to ... -
Incentive-based Resource Allocation for Mobile Edge Learning
( IEEE , 2022 , Conference Paper)Mobile Edge Learning (MEL) is a learning paradigm that facilitates training of Machine Learning (ML) models over resource-constrained edge devices. MEL consists of an orchestrator, which represents the model owner of the ...