随笔分类 - 联邦学习
人工智能安全(联邦学习)
摘要:1 前置知识 本部分只对相关概念做服务于差分隐私介绍的简单介绍,并非细致全面的介绍。 1.1 随机化算法 随机化算法指,对于特定输入,该算法的输出不是固定值,而是服从某一分布。 单纯形(simplex):一个维单纯形是指包含个顶点的凸多面体,一维单纯形是一条线段,二维单纯形是一个三角
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摘要:Federated Machine Learning: Concept and Applications Authors QIANG YANG,YANG LIU,TIANJIAN CHEN,YONGXIN TONG Keywords Federated learning,GDPR,transfer
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摘要:Federated Learning in Mobile Edge Networks: A Comprehensive Survey Authors Wei Yang Bryan Lim、Nguyen Cong Luong、Dinh Thai Hoang、Yutao Jiao、Ying-Chang
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摘要:Federated Learning for Wireless Communications: Motivation, Opportunities, and Challenges Authors Solmaz Niknam, Harpreet S. Dhillon, Jeffrey H. Reed
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摘要:A review of applications in federated learning Authors Li Li, Yuxi Fan, Mike Tse, Kuo-Yi Lin Keywords Federated learning; Literature review; Citation
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摘要:A survey on security and privacy of federated learning Authors Viraaji Mothukuri, Reza M. Parizi, Seyedamin Pouriyeh, Yan Huang, Ali Dehghantanha, Gau
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摘要:A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond Authors Sawsan AbdulRahman, Hanine Tout, Hakim
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摘要:A survey on federated learning Authors Chen Zhang, Yu Xie, Hang Bai, Bin Yu, Weihong Li, Yuan Gao Keywords Federated learning; Privacy protection; Mac
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摘要:设一共有个客户机, 中心服务器初始化模型参数,执行若干轮(round),每轮选取至少1个至多个客户机参与训练,接下来每个被选中的客户机同时在自己的本地根据服务器下发的本轮(轮)模型用自己的数据训练自己的模型,上传回服务器。服务器将收集来的各客户机的模
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