Federated Learning Based on OPTICS Clustering Optimization

Federated Learning Based on OPTICS Clustering Optimization

Federated learning (FL) has emerged for solving the problem of data fragmentation and isolation in machine learning based on privacy protection. Each client node uploads the trained model parameter information to the central server based on the local training data, and the central server aggregates...

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Bibliographic Details
Main Authors:	Chenyang Lu, Su Deng, Yahui Wu, Haohao Zhou, Wubin Ma
Format:	Article
Language:	English
Published:	Wiley 2022-01-01
Series:	Discrete Dynamics in Nature and Society
Online Access:	http://dx.doi.org/10.1155/2022/7151373
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