联合协作学习与稀疏的梯度对资源有限的设备上的异质数据的有限的梯度

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Updated: Jun 3, 2025

Generation of Heterogeneous Drug Gradients Across Cancer Populations on a Microfluidic Evolution Accelerator for Real-Time Observation
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Generation of Heterogeneous Drug Gradients Across Cancer Populations on a Microfluidic Evolution Accelerator for Real-Time Observation

Published on: September 19, 2019

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Mengmeng Li1,2, Xin He2,3, Jinhua Chen2,3

  • 1College of Computer and Information Engineering, Henan University, Kaifeng 475001, China.

Entropy (Basel, Switzerland)
|January 8, 2025
PubMed
概括

本研究介绍了资源有限的物联网设备的稀疏梯度联合学习模型. 该方法通过减少通信流量和对客户进行适应权重来提高培训效率和对异质数据的准确性.

关键词:
适应性的体重适应性的体重.联合分裂学习学习联合分裂学习不同质的数据是不同的数据.资源有限的设备.稀疏的梯度梯度是稀疏的

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