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 …
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 …
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 …
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 …
algorithm is presented to solve complex optimisation problem. In the MSICEAO, the multi …
A survey on representation learning efforts in cybersecurity domain
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 …
bases. Traditional cybersecurity approaches are based on old threat-knowledge databases …
Hybrid many-objective particle swarm optimization algorithm for green coal production problem
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 …
utilization of the resources. A requirement for sustainable economic development is realizing …
A hybrid recommendation system with many-objective evolutionary algorithm
Recommendation system (RS) is a technology that provides accurate recommendations to
users. However, it is not comprehensive to only consider the accuracy of the …
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 …
fact that the traditional machine learning model is susceptible to the sEMG feature extraction …
A many-objective optimization recommendation algorithm based on knowledge mining
Recommendation system (RS) is a technology that provides accurate recommendation for
users. In order to make the recommendation results more accurate and diverse, we …
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 …
maintenance (PdM). This addresses the issues of equipment downtime and unnecessary …