云南高校图书馆联盟文献共享服务平台- 检索结果

检索结果分析

检索条件："关键词=ycomputation "

共条记录，以下是1-1

全选清除导出

视图：

排序：

显示条数：

A survey on federated learning:a perspective from multi-party computation被引量：2: 《Frontiers of Computer Science》2024年第1期93-103,共11页Fengxia LIU Zhiming ZHENG Yexuan SHI Yongxin TONG Yi ZHANG; partially supported by the National Natural Science Foundation of China(NSFC)(Grant Nos.U21A20516,62076017,and 62141605);the Funding of Advanced Innovation Center for Future Blockchain and Privacy Computing(No.ZF226G2201);the Beihang University Basic Research Funding(No.YWF-22-L-531);the Funding(No.22-TQ23-14-ZD-01-001)and WeBank Scholars Program.; Federated learning is a promising learning paradigm that allows collaborative training of models across multiple data owners without sharing their raw datasets.To enhance privacy in federated learning,multi-party comp...; 关键词：sfederated learning multi-party ycomputation privacy-preserving data mining distributed learning

全选清除导出

共1页<1>