过去一年中添加的文章，按日期排序
Enhancing Federated Learning Performance through Adaptive Client Optimization with Hyperparameter Tuning
2 天前 - … The effectiveness of Industrial Internet of Things (IIoT) systems requires a robust fault
… learning approach proves inadequate. In response to this limitation, Federated Learning (…
… learning approach proves inadequate. In response to this limitation, Federated Learning (…
Privacy-preserving intelligent fault diagnostics for wind turbine clusters using federated stacked capsule autoencoder
H Chen, XB Wang, ZX Yang, J Li - Expert Systems with Applications, 2024 - Elsevier
4 天前 - … Internet of Things (IoT) technologies in the field of health monitoring has introduced
the paradigm of Industrial Internet of Things (IIoT) to the industry… the federated learning ability…
the paradigm of Industrial Internet of Things (IIoT) to the industry… the federated learning ability…
[PDF][PDF] AI Functionalities in Cobot-Based Manufacturing for Performance Improvement in Quality Control Application
5 天前 - … ), artificial intelligence (AI), Internet of Things (IoT), Industrial Internet of Things (IIoT),
cloud computing and big data are listed as key technologies of the future industry [16]. The …
cloud computing and big data are listed as key technologies of the future industry [16]. The …
Automated federated learning for intrusion detection of industrial control systems based on evolutionary neural architecture search
5 天前 - … of the Internet of Things and Industrial Control Systems (… existing deep learning
models used in federated learning-… design a lightweight federated learning model termed as Fed-…
models used in federated learning-… design a lightweight federated learning model termed as Fed-…
[引用][C] Device Scheduling for Secure Aggregation in Wireless Federated Learning
6 天前 - … —Federated learning (FL) has been widely investigated in academic and industrial
… device results in poor ML performance, which prompts the introduction of federated learning …
… device results in poor ML performance, which prompts the introduction of federated learning …
QoS-aware edge server placement for collaborative predictive maintenance in industrial internet of things
A Mehta, RK Verma - The Journal of Supercomputing, 2024 - Springer
6 天前 - … ) plays a crucial role within the Industrial Internet of Things (IIoT) by … Then, it uses
federated learning for predictive … of edge computing and federated learning into the predictive …
federated learning for predictive … of edge computing and federated learning into the predictive …
PreM-FedIoV: A Novel Federated Reinforcement Learning Framework for Predictive Maintenance in IoV
10 天前 - … of vehicles have been extensively in- tegrated into the industrial Internet of Things
(IoT) … In recent years, there has been increasing interest in applying Federated Learning (FL) …
(IoT) … In recent years, there has been increasing interest in applying Federated Learning (FL) …
Semi-Federated Learning for Internet of Intelligence
11 天前 - … in distributed IoT environments. In this article, we introduce a semi-federated learning
(… of data and device heterogeneity in massive IoT networks. In SemiFL, only users with …
(… of data and device heterogeneity in massive IoT networks. In SemiFL, only users with …
Tsfed: A Three-Stage Optimization Mechanism for Secure and Efficient Federated Learning in Industrial Iot Networks
11 天前 - … TSFed System Model 18 This paper presents a three-stage optimization for secure
and efficient Federated Learning (FL) in the Industrial 19 Internet of Things (IIoT) network, …
and efficient Federated Learning (FL) in the Industrial 19 Internet of Things (IIoT) network, …
A Survey of Advances in Multimodal Federated Learning with Applications Check for updates
G Barry, E Konyar, B Harvill, C Johnstone - … Data Analytics for Industrial … - books.google.com
15 天前 - … federated learning (MMFL), which concerns federated … on data privacy that do not
utilize federated learning (eg,[80]… more thorough background on federated learning in general. …
utilize federated learning (eg,[80]… more thorough background on federated learning in general. …