Client Selection for Federated Learning With Non-IID Data in Mobile Edge Computing

Client Selection for Federated Learning With Non-IID Data in Mobile Edge Computing

Federated Learning (FL) has recently attracted considerable attention in internet of things, due to its capability of enabling mobile clients to collaboratively learn a global prediction model without sharing their privacy-sensitive data to the server. Despite its great potential, a main challenge o...

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Bibliographic Details
Main Authors: Wenyu Zhang, Xiumin Wang, Pan Zhou, Weiwei Wu, Xinglin Zhang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Federated learning
mobile edge computing
client selection
Online Access:https://ieeexplore.ieee.org/document/9345723/

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