OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
A federated data-driven evolutionary algorithm
Jinjin Xu, Yaochu Jin, Wenli Du, et al.
Knowledge-Based Systems (2021) Vol. 233, pp. 107532-107532
Open Access | Times Cited: 31
Jinjin Xu, Yaochu Jin, Wenli Du, et al.
Knowledge-Based Systems (2021) Vol. 233, pp. 107532-107532
Open Access | Times Cited: 31
Showing 1-25 of 31 citing articles:
Federated learning on non-IID data: A survey
Hangyu Zhu, Jinjin Xu, Shiqing Liu, et al.
Neurocomputing (2021) Vol. 465, pp. 371-390
Open Access | Times Cited: 541
Hangyu Zhu, Jinjin Xu, Shiqing Liu, et al.
Neurocomputing (2021) Vol. 465, pp. 371-390
Open Access | Times Cited: 541
Recent Advances in Bayesian Optimization
Xilu Wang, Yaochu Jin, Sebastian Schmitt, et al.
ACM Computing Surveys (2023) Vol. 55, Iss. 13s, pp. 1-36
Open Access | Times Cited: 141
Xilu Wang, Yaochu Jin, Sebastian Schmitt, et al.
ACM Computing Surveys (2023) Vol. 55, Iss. 13s, pp. 1-36
Open Access | Times Cited: 141
Model aggregation techniques in federated learning: A comprehensive survey
Pian Qi, Diletta Chiaro, Antonella Guzzo, et al.
Future Generation Computer Systems (2023) Vol. 150, pp. 272-293
Open Access | Times Cited: 100
Pian Qi, Diletta Chiaro, Antonella Guzzo, et al.
Future Generation Computer Systems (2023) Vol. 150, pp. 272-293
Open Access | Times Cited: 100
Distributed additive encryption and quantization for privacy preserving federated deep learning
Hangyu Zhu, Rui Wang, Yaochu Jin, et al.
Neurocomputing (2021) Vol. 463, pp. 309-327
Open Access | Times Cited: 39
Hangyu Zhu, Rui Wang, Yaochu Jin, et al.
Neurocomputing (2021) Vol. 463, pp. 309-327
Open Access | Times Cited: 39
ICEEMDAN–RPE–AITD algorithm for magnetic field signals of magnetic targets
Binjie Lu, Zongji Li, Xiaobing Zhang
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Binjie Lu, Zongji Li, Xiaobing Zhang
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Edge–Cloud Co-Evolutionary Algorithms for Distributed Data-Driven Optimization Problems
Xiao-Qi Guo, Wei‐Neng Chen, Feng-Feng Wei, et al.
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 10, pp. 6598-6611
Closed Access | Times Cited: 21
Xiao-Qi Guo, Wei‐Neng Chen, Feng-Feng Wei, et al.
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 10, pp. 6598-6611
Closed Access | Times Cited: 21
A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose Prediction
Ivanoe De Falco, Antonio Della Cioppa, Tomáš Koutný, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 2957-2957
Open Access | Times Cited: 10
Ivanoe De Falco, Antonio Della Cioppa, Tomáš Koutný, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 2957-2957
Open Access | Times Cited: 10
A federated data-driven evolutionary algorithm for expensive multi-/many-objective optimization
Jinjin Xu, Yaochu Jin, Wenli Du
Complex & Intelligent Systems (2021) Vol. 7, Iss. 6, pp. 3093-3109
Open Access | Times Cited: 23
Jinjin Xu, Yaochu Jin, Wenli Du
Complex & Intelligent Systems (2021) Vol. 7, Iss. 6, pp. 3093-3109
Open Access | Times Cited: 23
Hybrid IoT Device Selection With Knowledge Transfer for Federated Learning
Qianlong Dang, Guanghui Zhang, Ling Wang, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 7, pp. 12216-12227
Closed Access | Times Cited: 8
Qianlong Dang, Guanghui Zhang, Ling Wang, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 7, pp. 12216-12227
Closed Access | Times Cited: 8
A Secure Federated Data-Driven Evolutionary Multi-Objective Optimization Algorithm
Qiqi Liu, Yuping Yan, Péter Ligeti, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2023) Vol. 8, Iss. 1, pp. 191-205
Open Access | Times Cited: 7
Qiqi Liu, Yuping Yan, Péter Ligeti, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2023) Vol. 8, Iss. 1, pp. 191-205
Open Access | Times Cited: 7
ExTrEMO: Transfer Evolutionary Multiobjective Optimization With Proof of Faster Convergence
Jiao Liu, Abhishek Gupta, Chin Chun Ooi, et al.
IEEE Transactions on Evolutionary Computation (2024) Vol. 29, Iss. 1, pp. 102-116
Closed Access | Times Cited: 2
Jiao Liu, Abhishek Gupta, Chin Chun Ooi, et al.
IEEE Transactions on Evolutionary Computation (2024) Vol. 29, Iss. 1, pp. 102-116
Closed Access | Times Cited: 2
Federated Many-Task Bayesian Optimization
Hangyu Zhu, Xilu Wang, Yaochu Jin
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 4, pp. 980-993
Closed Access | Times Cited: 6
Hangyu Zhu, Xilu Wang, Yaochu Jin
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 4, pp. 980-993
Closed Access | Times Cited: 6
Model-Free-Communication Federated Learning: Framework and application to Precision Medicine
Ivanoe De Falco, Antonio Della Cioppa, Tomáš Koutný, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105416-105416
Open Access | Times Cited: 5
Ivanoe De Falco, Antonio Della Cioppa, Tomáš Koutný, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105416-105416
Open Access | Times Cited: 5
An Efficient Federated Genetic Programming Framework for Symbolic Regression
Junlan Dong, Jinghui Zhong, Wei‐Neng Chen, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2022) Vol. 7, Iss. 3, pp. 858-871
Closed Access | Times Cited: 8
Junlan Dong, Jinghui Zhong, Wei‐Neng Chen, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2022) Vol. 7, Iss. 3, pp. 858-871
Closed Access | Times Cited: 8
Intersection of machine learning and mobile crowdsourcing: a systematic topic-driven review
Weisi Chen, Walayat Hussain, Islam Al-Qudah, et al.
Personal and Ubiquitous Computing (2024)
Closed Access | Times Cited: 1
Weisi Chen, Walayat Hussain, Islam Al-Qudah, et al.
Personal and Ubiquitous Computing (2024)
Closed Access | Times Cited: 1
Federated Bayesian Optimization via Compressed Sensing
Qiqi Liu, Leming Wu, Yaochu Jin
Information Sciences (2024) Vol. 681, pp. 121148-121148
Closed Access | Times Cited: 1
Qiqi Liu, Leming Wu, Yaochu Jin
Information Sciences (2024) Vol. 681, pp. 121148-121148
Closed Access | Times Cited: 1
Towards fairness-aware multi-objective optimization
Guo Yu, Lianbo Ma, Xilu Wang, et al.
Complex & Intelligent Systems (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Guo Yu, Lianbo Ma, Xilu Wang, et al.
Complex & Intelligent Systems (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Federated learning based atmospheric source term estimation in urban environments
Jinjin Xu, Wenli Du, Qiaoyi Xu, et al.
Computers & Chemical Engineering (2021) Vol. 155, pp. 107505-107505
Closed Access | Times Cited: 9
Jinjin Xu, Wenli Du, Qiaoyi Xu, et al.
Computers & Chemical Engineering (2021) Vol. 155, pp. 107505-107505
Closed Access | Times Cited: 9
Privacy-preserving federated Bayesian optimization with learnable noise
Qiqi Liu, Yuping Yan, Yaochu Jin
Information Sciences (2023) Vol. 653, pp. 119739-119739
Closed Access | Times Cited: 2
Qiqi Liu, Yuping Yan, Yaochu Jin
Information Sciences (2023) Vol. 653, pp. 119739-119739
Closed Access | Times Cited: 2
Secure Federated Evolutionary Optimization—A Survey
Qiqi Liu, Yuping Yan, Yaochu Jin, et al.
Engineering (2023) Vol. 34, pp. 23-42
Open Access | Times Cited: 2
Qiqi Liu, Yuping Yan, Yaochu Jin, et al.
Engineering (2023) Vol. 34, pp. 23-42
Open Access | Times Cited: 2
A Distributed Cooperative Co-Evolutionary Algorithm Based on Ring Network for Distributed Large-Scale Optimization
Wen-Jie Ou, Xuan-Li Shi, Wei‐Neng Chen
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2022), pp. 3018-3025
Closed Access | Times Cited: 3
Wen-Jie Ou, Xuan-Li Shi, Wei‐Neng Chen
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2022), pp. 3018-3025
Closed Access | Times Cited: 3
Federated Genetic Algorithm: Two-Layer Privacy-Preserving Trajectory Data Publishing
Yong-Feng Ge, Hua Wang, Jinli Cao, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 749-758
Closed Access
Yong-Feng Ge, Hua Wang, Jinli Cao, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 749-758
Closed Access
A Federated Data-driven Multiobjective Evolutionary Algorithm via Continual Learnable Clustering
Takato Kinoshita, Naoki Masuyama, Yusuke Nojima
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-7
Closed Access
Takato Kinoshita, Naoki Masuyama, Yusuke Nojima
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-7
Closed Access
FOG: A Unified Framework for Federated Combinatorial Optimization on Graphs
Shiqing Liu, Ulrich Rückert, Yaochu Jin
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Closed Access
Shiqing Liu, Ulrich Rückert, Yaochu Jin
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Closed Access
PrivRBFN: Building Privacy-Preserving Radial Basis Function Networks Based on Federated Learning
Rong Wang, Siyu Wang
Lecture notes in computer science (2024), pp. 214-227
Closed Access
Rong Wang, Siyu Wang
Lecture notes in computer science (2024), pp. 214-227
Closed Access
