A Multi-Task Based Clustering Personalized Federated Learning Method

A Multi-Task Based Clustering Personalized Federated Learning Method

Federated Learning (FL) is a framework for machine learning on a large-scale distributed dataset, enabling the training of a collaborative model across multiple parties while preserving the privacy of user data. However, in cases where data are distributed in a non-independent and identically distri...

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Bibliographic Details
Main Authors: Ao Xiong, Han Zhou, Yu Song, Dong Wang, Xu Wei, Da Li, Bo Gao
Format: Article
Language:English
Published: Tsinghua University Press 2024-12-01
Series:Big Data Mining and Analytics
Subjects:
personalized federated learning
data heterogeneity
clustering algorithm
multi-task learning
adaptive weight
Online Access:https://www.sciopen.com/article/10.26599/BDMA.2024.9020001

Internet

https://www.sciopen.com/article/10.26599/BDMA.2024.9020001

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