中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共24条，第1-10条 帮助

已选(0)清除 条数/页：   排序方式：
Overhead-free Noise-tolerant Federated Learning: A New Baseline 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 526-537
作者:  Shiyi Lin;  Deming Zhai;  Feilong Zhang;  Junjun Jiang;  Xianming Liu;  Xiangyang Ji
Adobe PDF(1816Kb)  |  收藏  |  浏览/下载：9/6  |  提交时间：2024/05/23
Federated learning, noise-label learning, privacy-preserving machine learning, edge intelligence, distributed machine learning  
FedFV: A Personalized Federated Learning Framework for Finger Vein Authentication 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 683-696
作者:  Feng-Zhao Lian;  Jun-Duan Huang;  Ji-Xin Liu;   Guang Chen;  Jun-Hong Zhao;  Wen-Xiong Kang
Adobe PDF(1789Kb)  |  收藏  |  浏览/下载：7/1  |  提交时间：2024/04/23
Finger vein, personalized federated learning, privacy protection, biometric, authentication  
Federated Learning with Privacy-preserving and Model IP-right-protection 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 19-37
作者:  Qiang Yang;  Anbu Huang;  Lixin Fan;  Chee Seng Chan;  Jian Han Lim;  Kam Woh Ng;  Ding Sheng Ong;  Bowen Li
Adobe PDF(2634Kb)  |  收藏  |  浏览/下载：15/4  |  提交时间：2024/04/23
Federated learning  privacy-preserving machine learning  security  decentralized learning  intellectual property protection  
A Framework for Distributed Semi-supervised Learning Using Single-layer Feedforward Networks 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 1, 页码: 63-74
作者:  Jin Xie;  San-Yang Liu;  Jia-Xi Chen
Adobe PDF(1245Kb)  |  收藏  |  浏览/下载：16/6  |  提交时间：2024/04/23
Distributed learning (DL)  semi-supervised learning (SSL)  manifold regularization (MR)  single layer feed-forward neural network (SLFNN)  privacy preserving  
Privacy-Preserving Consensus-Based Distributed Economic Dispatch of Smart Grids via State Decomposition 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1250-1261
作者:  Wei Chen;  Guo-Ping Liu
Adobe PDF(1624Kb)  |  收藏  |  浏览/下载：43/12  |  提交时间：2024/04/10
Consensus-based DED algorithm  privacy preservation  smart grids  state decomposition  
A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 824-850
作者:  M. Victoria Luzón;  Nuria Rodríguez-Barroso;  Alberto Argente-Garrido;  Daniel Jiménez-López;  Jose M. Moyano;  Javier Del Ser;  Weiping Ding;  Francisco Herrera
Adobe PDF(4602Kb)  |  收藏  |  浏览/下载：30/9  |  提交时间：2024/03/18
Data privacy  distributed machine learning  federated learning  software frameworks  
Security and Privacy in Solar Insecticidal Lamps Internet of Things: Requirements and Challenges 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 58-73
作者:  Qingsong Zhao;  Lei Shu;  Kailiang Li;  Mohamed Amine Ferrag;  Ximeng Liu;  Yanbin Li
Adobe PDF(3374Kb)  |  收藏  |  浏览/下载：234/170  |  提交时间：2024/01/02
Challenges  Internet of Things (IoT)  privacy and security  security requirements  solar insecticidal lamps (SIL)  
Privacy Preserving Demand Side Management Method via Multi-Agent Reinforcement Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 1984-1999
作者:  Feiye Zhang;  Qingyu Yang;  Dou An
Adobe PDF(3841Kb)  |  收藏  |  浏览/下载：80/41  |  提交时间：2023/09/07
Centralized training and decentralized execution  demand side management  multi-agent reinforcement learning  privacy preserving  
IrisGuard: Image Forgery Detection for Iris Anti-spoofing 会议论文
, Beijing, 2022.12.11-2022.12.13
作者:  Zhuo, Wenqi;  Wang, Wei;  Zhang, Hui;  Dong, Jing
Adobe PDF(1043Kb)  |  收藏  |  浏览/下载：205/57  |  提交时间：2023/05/31
iris anti-spoofing  image forgery detection  privacy protection  
Crowdsensing Intelligence by Decentralized Autonomous Vehicles Organizations and Operations 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2022, 卷号: 7, 期号: 4, 页码: 804-808
作者:  Zhu, Zhengqiu;  Wang, Xiao;  Zhao, Yong;  Qiu, Sihang;  Liu, Zhong;  Chen, Bin;  Wang, Fei-Yue
收藏  |  浏览/下载：70/0  |  提交时间：2023/03/20
Blockchains  Autonomous vehicles  Smart contracts  Privacy  Crowdsensing  Security  Data privacy  Connected vehicles  Connected and autonomous vehicles  vehicular crowdsensing  blockchain technology