典型文献
Neursafe-FL:A Reliable, Efficient, Easy-to-Use Federated Learning Framework
文献摘要：
Federated learning (FL) has developed rapidly in recent years as a privacy-preserving machine learning method, and it has been gradually applied to key areas involving privacy and security such as finance, medical care, and government affairs. However, the current so-lutions to FL rarely consider the problem of migration from centralized learning to federated learning, resulting in a high practical threshold for federated learning and low usability. Therefore, we introduce a reliable, efficient, and easy-to-use federated learning framework named Neursafe-FL. Based on the unified application program interface (API), the framework is not only compatible with mainstream machine learn-ing frameworks, such as Tensorflow and Pytorch, but also supports further extensions, which can preserve the programming style of the origi-nal framework to lower the threshold of FL. At the same time, the design of componentization, modularization, and standardized interface makes the framework highly extensible, which meets the needs of customized requirements and FL evolution in the future. Neursafe-FL is al-ready on Github as an open-source project1.
文献关键词：
中图分类号：
作者姓名：
TANG Bo;ZHANG Chengming;WANG Kewen;GAO Zhengguang;HAN Bingtao
作者机构：
ZTE Corporation, Shenzhen 518057, China;The State Key Laboratory of Mobile Network and Mobile Multime?dia Technology, Shenzhen 518055, China
文献出处：
引用格式：
[1]TANG Bo;ZHANG Chengming;WANG Kewen;GAO Zhengguang;HAN Bingtao-.Neursafe-FL:A Reliable, Efficient, Easy-to-Use Federated Learning Framework)[J].中兴通讯技术（英文版）,2022(03):43-53
A类：
Neursafe,componentization,project1
B类：
FL,Reliable,Efficient,Easy,Use,Federated,Learning,Framework,learning,has,developed,rapidly,recent,years,privacy,preserving,machine,method,been,gradually,applied,key,areas,involving,security,such,finance,medical,care,government,affairs,However,current,lutions,rarely,consider,problem,migration,from,centralized,federated,resulting,practical,threshold,usability,Therefore,introduce,reliable,efficient,easy,use,named,Based,unified,application,interface,API,is,not,only,compatible,mainstream,frameworks,Tensorflow,Pytorch,but,also,supports,further,extensions,which,can,preserve,programming,style,origi,nal,lower,At,same,design,modularization,standardized,makes,highly,extensible,meets,needs,customized,requirements,evolution,future,ready,Github,open,source
AB值：
0.613304
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