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:
FedCav: Contribution-aware Model Aggregation on Distributed Heterogeneous Data in Federated Learning
Hui Zeng, Tongqing Zhou, Yeting Guo, et al.
(2021)
Closed Access | Times Cited: 15
Hui Zeng, Tongqing Zhou, Yeting Guo, et al.
(2021)
Closed Access | Times Cited: 15
Showing 15 citing articles:
A comprehensive survey of federated transfer learning: challenges, methods and applications
Wei Guo, Fuzhen Zhuang, Xiao Zhang, et al.
Frontiers of Computer Science (2024) Vol. 18, Iss. 6
Open Access | Times Cited: 5
Wei Guo, Fuzhen Zhuang, Xiao Zhang, et al.
Frontiers of Computer Science (2024) Vol. 18, Iss. 6
Open Access | Times Cited: 5
FedSH: Towards Privacy-Preserving Text-Based Person Re-Identification
Wentao Ma, Xinyi Wu, Shan Zhao, et al.
IEEE Transactions on Multimedia (2023) Vol. 26, pp. 5065-5077
Closed Access | Times Cited: 12
Wentao Ma, Xinyi Wu, Shan Zhao, et al.
IEEE Transactions on Multimedia (2023) Vol. 26, pp. 5065-5077
Closed Access | Times Cited: 12
Decentralized Machine Learning Training: A Survey on Synchronization, Consolidation, and Topologies
Qazi Waqas Khan, Anam Nawaz Khan, Atif Rizwan, et al.
IEEE Access (2023) Vol. 11, pp. 68031-68050
Open Access | Times Cited: 11
Qazi Waqas Khan, Anam Nawaz Khan, Atif Rizwan, et al.
IEEE Access (2023) Vol. 11, pp. 68031-68050
Open Access | Times Cited: 11
FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning
Nang Hung Nguyen, Phi Le Nguyen, Thuy Nguyen, et al.
(2022), pp. 1-11
Open Access | Times Cited: 12
Nang Hung Nguyen, Phi Le Nguyen, Thuy Nguyen, et al.
(2022), pp. 1-11
Open Access | Times Cited: 12
Leveraging heuristic client selection for enhanced secure federated submodel learning
Panyu Liu, Tongqing Zhou, Zhiping Cai, et al.
Information Processing & Management (2022) Vol. 60, Iss. 3, pp. 103211-103211
Closed Access | Times Cited: 8
Panyu Liu, Tongqing Zhou, Zhiping Cai, et al.
Information Processing & Management (2022) Vol. 60, Iss. 3, pp. 103211-103211
Closed Access | Times Cited: 8
Never Too Late: Tracing and Mitigating Backdoor Attacks in Federated Learning
Hui Zeng, Tongqing Zhou, Xinyi Wu, et al.
(2022), pp. 69-81
Closed Access | Times Cited: 8
Hui Zeng, Tongqing Zhou, Xinyi Wu, et al.
(2022), pp. 69-81
Closed Access | Times Cited: 8
PureFed: An Efficient Collaborative and Trustworthy Federated Learning Framework Based on Blockchain Network
Made Adi Paramartha Putra, Nyoman Karna, Revin Naufal Alief, et al.
IEEE Access (2024) Vol. 12, pp. 82413-82426
Open Access | Times Cited: 1
Made Adi Paramartha Putra, Nyoman Karna, Revin Naufal Alief, et al.
IEEE Access (2024) Vol. 12, pp. 82413-82426
Open Access | Times Cited: 1
Breaking the traditional: a survey of algorithmic mechanism design applied to economic and complex environments
Qian Chen, Xuan Wang, Zoe L. Jiang, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 22, pp. 16193-16222
Open Access | Times Cited: 3
Qian Chen, Xuan Wang, Zoe L. Jiang, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 22, pp. 16193-16222
Open Access | Times Cited: 3
CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization
Nang Hung Nguyen, Duc Long Nguyen, Trong Bang Nguyen, et al.
(2023) Vol. 33, pp. 249-261
Open Access | Times Cited: 3
Nang Hung Nguyen, Duc Long Nguyen, Trong Bang Nguyen, et al.
(2023) Vol. 33, pp. 249-261
Open Access | Times Cited: 3
From Eye to Brain: A Proactive and Distributed Crowdsensing Framework for Federated Learning
Hongjia Wu, Hui Zeng, Tongqing Zhou, et al.
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 9, pp. 8202-8214
Closed Access | Times Cited: 4
Hongjia Wu, Hui Zeng, Tongqing Zhou, et al.
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 9, pp. 8202-8214
Closed Access | Times Cited: 4
Towards Value-Sensitive and Poisoning-Proof Model Aggregation for Federated Learning on Heterogeneous Data
Hui Zeng, Tongqing Zhou, Yeting Guo, et al.
(2024)
Closed Access
Hui Zeng, Tongqing Zhou, Yeting Guo, et al.
(2024)
Closed Access
Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning
Nan Yan, Yuqing Li, Jing Chen, et al.
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications (2024), pp. 791-800
Closed Access
Nan Yan, Yuqing Li, Jing Chen, et al.
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications (2024), pp. 791-800
Closed Access
Towards Heterogeneous Federated Learning: Analysis, Solutions, and Future Directions
Yongwei Lin, Yucheng Long, Zhili Zhou, et al.
Lecture notes in computer science (2024), pp. 172-189
Closed Access
Yongwei Lin, Yucheng Long, Zhili Zhou, et al.
Lecture notes in computer science (2024), pp. 172-189
Closed Access
One-shot-but-not-degraded Federated Learning
Zeng Hui, Minrui Xu, Tongqing Zhou, et al.
(2024), pp. 11070-11079
Closed Access
Zeng Hui, Minrui Xu, Tongqing Zhou, et al.
(2024), pp. 11070-11079
Closed Access
Towards Heterogeneous Federated Learning
Yue Huang, Yonghui Xu, Lanju Kong, et al.
Communications in computer and information science (2023), pp. 390-404
Closed Access | Times Cited: 1
Yue Huang, Yonghui Xu, Lanju Kong, et al.
Communications in computer and information science (2023), pp. 390-404
Closed Access | Times Cited: 1
