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Updated: Jun 3, 2025

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
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适应性提示选择为DAG-Shard-based联合学习,具有高并发性和公平性

Ruiqi Xiao1, Yun Cao1, Bin Xia1

  • 1School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.

Sensors (Basel, Switzerland)
|January 11, 2025
PubMed
概括

本研究介绍了基于DAG-Shard的联合学习 (DSFL),增强了大型模型的培训并发性. 与现有的DAG-FL和Blockchain-FL方法相比,DSFL提高了准确性和F1得分,确保了公平性和稳定性.

关键词:
区块链区块链区块链区块链区块链定向非循环图是指向的非循环图.公平的激励公平的激励联合学习的联合学习.高竞争力的高竞争力.

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