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:
FedRecovery: Differentially Private Machine Unlearning for Federated Learning Frameworks
Lefeng Zhang, Tianqing Zhu, Haibin Zhang, et al.
IEEE Transactions on Information Forensics and Security (2023) Vol. 18, pp. 4732-4746
Closed Access | Times Cited: 16
Lefeng Zhang, Tianqing Zhu, Haibin Zhang, et al.
IEEE Transactions on Information Forensics and Security (2023) Vol. 18, pp. 4732-4746
Closed Access | Times Cited: 16
Showing 16 citing articles:
Machine Learning Models for Water Quality Prediction: A Comprehensive Analysis and Uncertainty Assessment in Mirpurkhas, Sindh, Pakistan
Farkhanda Abbas, Zhihua Cai, Muhammad Shoaib, et al.
Water (2024) Vol. 16, Iss. 7, pp. 941-941
Open Access | Times Cited: 21
Farkhanda Abbas, Zhihua Cai, Muhammad Shoaib, et al.
Water (2024) Vol. 16, Iss. 7, pp. 941-941
Open Access | Times Cited: 21
A Survey on Federated Unlearning: Challenges, Methods, and Future Directions
Ziyao Liu, Yu Jiang, Jiyuan Shen, et al.
ACM Computing Surveys (2024) Vol. 57, Iss. 1, pp. 1-38
Open Access | Times Cited: 11
Ziyao Liu, Yu Jiang, Jiyuan Shen, et al.
ACM Computing Surveys (2024) Vol. 57, Iss. 1, pp. 1-38
Open Access | Times Cited: 11
The Price of Unlearning: Identifying Unlearning Risk in Edge Computing
Lefeng Zhang, Tianqing Zhu, Ping Xiong, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2024)
Open Access | Times Cited: 5
Lefeng Zhang, Tianqing Zhu, Ping Xiong, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2024)
Open Access | Times Cited: 5
Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics
Nicolò Romandini, Alessio Mora, Carlo Mazzocca, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024), pp. 1-21
Open Access | Times Cited: 5
Nicolò Romandini, Alessio Mora, Carlo Mazzocca, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024), pp. 1-21
Open Access | Times Cited: 5
FedMUA: Exploring the Vulnerabilities of Federated Learning to Malicious Unlearning Attacks
Jian Chen, Ziyuan Lin, Wanyu Lin, et al.
IEEE Transactions on Information Forensics and Security (2025) Vol. 20, pp. 1665-1678
Closed Access
Jian Chen, Ziyuan Lin, Wanyu Lin, et al.
IEEE Transactions on Information Forensics and Security (2025) Vol. 20, pp. 1665-1678
Closed Access
A survey on machine unlearning: Techniques and new emerged privacy risks
Hengzhu Liu, Ping Xiong, Tianqing Zhu, et al.
Journal of Information Security and Applications (2025) Vol. 90, pp. 104010-104010
Closed Access
Hengzhu Liu, Ping Xiong, Tianqing Zhu, et al.
Journal of Information Security and Applications (2025) Vol. 90, pp. 104010-104010
Closed Access
Decentralized Continuous Group Key Agreement for UAV Ad-Hoc Network
Seongmin Hong, Tianqi Zhou, Huijie Yang, et al.
Lecture notes in computer science (2025), pp. 56-69
Closed Access
Seongmin Hong, Tianqi Zhou, Huijie Yang, et al.
Lecture notes in computer science (2025), pp. 56-69
Closed Access
Rethinking federated learning as a digital platform for dynamic and value-driven participation
Christoph Düsing, Philipp Cimiano
Future Generation Computer Systems (2025), pp. 107847-107847
Open Access
Christoph Düsing, Philipp Cimiano
Future Generation Computer Systems (2025), pp. 107847-107847
Open Access
Toward Efficient and Robust Federated Unlearning in IoT Networks
Yanli Yuan, Bingbing Wang, Chuan Zhang, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 12, pp. 22081-22090
Closed Access | Times Cited: 2
Yanli Yuan, Bingbing Wang, Chuan Zhang, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 12, pp. 22081-22090
Closed Access | Times Cited: 2
Machine unlearning in brain-inspired neural network paradigms
Chaoyi Wang, Zuobin Ying, Zijie Pan
Frontiers in Neurorobotics (2024) Vol. 18
Open Access | Times Cited: 2
Chaoyi Wang, Zuobin Ying, Zijie Pan
Frontiers in Neurorobotics (2024) Vol. 18
Open Access | Times Cited: 2
Robust Federated Unlearning
Xinyi Sheng, Wei Bao, Liming Ge
(2024), pp. 2034-2044
Closed Access | Times Cited: 1
Xinyi Sheng, Wei Bao, Liming Ge
(2024), pp. 2034-2044
Closed Access | Times Cited: 1
Federated Unlearning in the Internet of Vehicles
Guofeng Li, Feng Xia, Liangmin Wang, et al.
(2024), pp. 96-103
Closed Access
Guofeng Li, Feng Xia, Liangmin Wang, et al.
(2024), pp. 96-103
Closed Access
Goldfish: An Efficient Federated Unlearning Framework
Houzhe Wang, Xiaojie Zhu, Chi Chen, et al.
(2024) Vol. 24, pp. 252-264
Closed Access
Houzhe Wang, Xiaojie Zhu, Chi Chen, et al.
(2024) Vol. 24, pp. 252-264
Closed Access
Adaptive Clipping and Distillation Enabled Federated Unlearning
Zhiqiang Xie, Zhipeng Gao, Yijing Lin, et al.
(2024) Vol. 2, pp. 748-756
Closed Access
Zhiqiang Xie, Zhipeng Gao, Yijing Lin, et al.
(2024) Vol. 2, pp. 748-756
Closed Access
Efficient Federated Unlearning with Adaptive Differential Privacy Preservation
Yu Jiang, Xindi Tong, Ziyao Liu, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 7822-7831
Open Access
Yu Jiang, Xindi Tong, Ziyao Liu, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 7822-7831
Open Access
