Federated clustering for recognizing driving styles from private trajectories
L Lu, Y Lin, Y Wen, J Zhu, S Xiong - Engineering applications of artificial …, 2023 - Elsevier
Driving style recognition of real-world drivers is beneficial for various reasons, such as safe
and economic driving, auto-insurance and designing autonomous systems. A common way …
and economic driving, auto-insurance and designing autonomous systems. A common way …
Logistics service supply chain order allocation mixed K-Means and Qos matching
S Zhang, C Bi, M Zhang - Procedia Computer Science, 2021 - Elsevier
To improve the efficiency of Logistics Service Supply Chain (LSSC) order allocation and to
maximize customer satisfaction, this paper built a LSSC under cloud environment, analyzed …
maximize customer satisfaction, this paper built a LSSC under cloud environment, analyzed …
Privacy-preserving Continual Federated Clustering via Adaptive Resonance Theory
With the increasing importance of data privacy protection, various privacy-preserving
machine learning methods have been proposed. In the clustering domain, various …
machine learning methods have been proposed. In the clustering domain, various …
[PDF][PDF] PRIVACY PROTECTION BASED DISTRIBUTED CLUSTERING WITH DEEP LEARNING ALGORITHM FOR DISTRIBUTED DATA MINING.
Distributed Data Mining (DDM) is vital in various applications for processing large volumes
of data. The datasets are saved in the local databases and operated by local communities …
of data. The datasets are saved in the local databases and operated by local communities …