Leveraging Personalized Customer Experiences in Mobile Edge Computing Through Split Learning Using Smart Data-Driven Modeling

Leveraging Personalized Customer Experiences in Mobile Edge Computing Through Split Learning Using Smart Data-Driven Modeling

The rapid growth and opportunities of Mobile Edge Computing (MEC) technology have transformed smart consumer electronics like smartphones and wearable devices that produce massive and complicated data sets. Analyzing consumer electronics data to understand customers is difficult because of its vast...

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Bibliografische gegevens
Hoofdauteurs: V. Vinoth Kumar, K. M. Karthick Raghunath, Iyappan Perumal, K. Manikandan
Formaat: Artikel
Taal:English
Gepubliceerd in: IEEE 2025-01-01
Reeks:IEEE Access
Onderwerpen:
Contextual adaptation
feature engineering
mobile edge computing
predictive analytics
split learning
Online toegang:https://ieeexplore.ieee.org/document/10892096/

Internet

https://ieeexplore.ieee.org/document/10892096/

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