An Improved Federated Learning Algorithm for Privacy Preserving in Cybertwin-Driven 6G System
IEEE transactions on industrial informatics（2022）
Key words
Servers,6G mobile communication,Data models,Training,Data privacy,Performance evaluation,Computational modeling,Client selection,cybertwin-driven 6G,federated learning (FL),imbalanced distribution,privacy preserving
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