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? FedCom为SWPU2022届本科毕业设计《基于社区检测的多任务聚类联邦学习》。本研究提出了一种多任务聚类联邦学习（clustered federated learning, CFL）的新方法，该方法的特点是基于社区检测（community detection）来进行聚类簇的动态划分。

deep-learningfederated-learningmachine-learning
Creat：2022-04-01T20:42:26
Update：2025-03-16T14:51:50
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