机译:实现异质性:IOT的自组织联邦学习框架
Qingdao Univ Business Sch Qingdao 266000 Peoples R China|Qingdao Univ Coll Comp Sci & Technol Qingdao 266000 Peoples R China;
Kennesaw State Univ Coll Comp & Software Engn Atlanta GA 30324 USA;
Jilin Univ Coll Comp Sci & Technol Changchun 130012 Peoples R China;
Harbin Engn Univ Dept Comp Sci Technol Harbin 150001 Peoples R China;
Georgia State Univ Dept Comp Sci Atlanta GA 30302 USA;
Internet of Things; Data models; Collaboration; Training; Servers; Data privacy; Machine learning; Federated learning (FL); heterogeneity; reinforcement learning (RL);
机译:联邦学习符合人类的情感:IOT应用程序的人机交互的分散框架
机译:分布式源联合学习的自组织地图算法的并行化
机译:通过无线网络联合学习的联合学习与通信框架
机译:IOTDEFENDER:5G IOT的联邦转移学习入侵检测框架
机译:Babel:用于管理物联网应用程序异构性的框架。
机译:IOT的开源联合学习框架:比较审查和分析
机译:IOT的开源联合学习框架:比较审查和分析