A survey on federated learning: challenges and applications

J Wen, Z Zhang, Y Lan, Z Cui, J Cai… - International Journal of …, 2023 - Springer
Federated learning (FL) is a secure distributed machine learning paradigm that addresses
the issue of data silos in building a joint model. Its unique distributed training mode and the …

A hybrid blockchain-based identity authentication scheme for multi-WSN

Z Cui, XUE Fei, S Zhang, X Cai, Y Cao… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) equipment is usually in a harsh environment, and its security has
always been a widely concerned issue. Node identity authentication is an important means …

Personalized recommendation system based on collaborative filtering for IoT scenarios

Z Cui, X Xu, XUE Fei, X Cai, Y Cao… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Recommendation technology is an important part of the Internet of Things (IoT) services,
which can provide better service for users and help users get information anytime …

An effective improved co-evolution ant colony optimisation algorithm with multi-strategies and its application

W Deng, J Xu, Y Song, H Zhao - International Journal of …, 2020 - inderscienceonline.com
In this paper, an effective improved co-evolution ant colony optimisation (MSICEAO)
algorithm is presented to solve complex optimisation problem. In the MSICEAO, the multi …

A survey on representation learning efforts in cybersecurity domain

M Usman, MA Jan, X He, J Chen - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
In this technology-based era, network-based systems are facing new cyber-attacks on daily
bases. Traditional cybersecurity approaches are based on old threat-knowledge databases …

Hybrid many-objective particle swarm optimization algorithm for green coal production problem

Z Cui, J Zhang, D Wu, X Cai, H Wang, W Zhang… - Information …, 2020 - Elsevier
The key aspect in coal production is realizing safe and efficient mining to maximize the
utilization of the resources. A requirement for sustainable economic development is realizing …

A hybrid recommendation system with many-objective evolutionary algorithm

X Cai, Z Hu, P Zhao, W Zhang, J Chen - Expert Systems with Applications, 2020 - Elsevier
Recommendation system (RS) is a technology that provides accurate recommendations to
users. However, it is not comprehensive to only consider the accuracy of the …

Gesture recognition based on surface electromyography‐feature image

Y Cheng, G Li, M Yu, D Jiang, J Yun… - Concurrency and …, 2021 - Wiley Online Library
For the problem of surface electromyography (sEMG) gesture recognition, considering the
fact that the traditional machine learning model is susceptible to the sEMG feature extraction …

A many-objective optimization recommendation algorithm based on knowledge mining

X Cai, Z Hu, J Chen - Information Sciences, 2020 - Elsevier
Recommendation system (RS) is a technology that provides accurate recommendation for
users. In order to make the recommendation results more accurate and diverse, we …

A genetic algorithm optimized RNN-LSTM model for remaining useful life prediction of turbofan engine

KT Chui, BB Gupta, P Vasant - Electronics, 2021 - mdpi.com
Understanding the remaining useful life (RUL) of equipment is crucial for optimal predictive
maintenance (PdM). This addresses the issues of equipment downtime and unnecessary …