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Updated: Feb 14, 2026

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EF-Feddr:使用Douglas-Rachford分割和错误反进行沟通高效的联合学习

Jiao Xue1, Chundong Wang1,2

  • 1School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China.

Frontiers in artificial intelligence
|February 13, 2026
PubMed
概括

我们推出EF-Feddr,这是一种高效的通信联合学习算法,可以提高培训速度和可扩展性. 它克服了数据压缩引起的融合问题,使联合学习变得更加实用.

关键词:
沟通效率 沟通效率 沟通效率复合物优化优化 复合物优化数据异质性数据异质性错误反 错误反 是一个错误反.联合学习的联合学习运营商的分裂是分离的.

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