:

Zheqi Zhu1,2, Yuchen Shi1,2, Gangtao Xin1,2

  • 1Department of Electronic Engineering, Tsinghua University, Beijing 100084, China.

PubMed
概括

联合学习 (FL) 的效率得到了FedLP-Q的提升,这是一个新的层次智能修剪量化框架. 这种方法减少了分布式系统中的通信计算瓶,性能损失最小.

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