Particle Swarm Optimization-based Federated Learning Method for Heterogeneous Data

Federated learning is an emerging privacy-preserving distributed machine learning framework,whose core feature is the ability to implement distributed machine learning without access to the client’s raw data.The client uses local data for model training and then uploads the model parameters to the s...

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發表在:	Jisuanji kexue
主要作者:	XU Yicheng, DAI Chaofan, MA Wubin, WU Yahui, ZHOU Haohao, LU Chenyang
格式:	Article
語言:	中文
出版:	Editorial office of Computer Science 2024-06-01
主題:	federated learning|particle swarm algorithm|communication cost|data heterogeneity|privacy protection
在線閱讀:	https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2024-51-6-391.pdf