AI-empowered mobile edge computing: inducing balanced federated learning strategy over edge for balanced data and optimized computation cost

AI-empowered mobile edge computing: inducing balanced federated learning strategy over edge for balanced data and optimized computation cost

Abstract In Mobile Edge Computing, the framework of federated learning can enable collaborative learning models across edge nodes, without necessitating the direct exchange of data from edge nodes. It addresses significant challenges encompassing access rights, privacy, security, and the utilization...

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Bibliographic Details
Main Authors: Momina Shaheen, Muhammad S. Farooq, Tariq Umer
Format: Article
Language:English
Published: SpringerOpen 2024-03-01
Series:Journal of Cloud Computing: Advances, Systems and Applications
Subjects:
Artificial intelligence
Class estimation
Data imbalance
Distributed machine learning
Federated learning
Edge devices
Online Access:https://doi.org/10.1186/s13677-024-00614-y

Internet

https://doi.org/10.1186/s13677-024-00614-y

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