.

Yifei Cheng1, Shuheng Shen2, Xianfeng Liang3

  • 1Anhui Province Key Lab of Big Data Analysis and Application, China; School of Data Science, University of Science and Technology of China, China; State Key Laboratory of Cognitive Intelligence, China.

概括

本研究介绍了SQUARFA,这是一种提高联合学习通信效率的算法,特别是与非IID数据. 它实现了最佳的融合和通信复杂性,解决了分布式机器学习的一个关键挑战.

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