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:
Distribution-Regularized Federated Learning on Non-IID Data
Yansheng Wang, Yongxin Tong, Zimu Zhou, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2023), pp. 2113-2125
Closed Access | Times Cited: 9
Yansheng Wang, Yongxin Tong, Zimu Zhou, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2023), pp. 2113-2125
Closed Access | Times Cited: 9
Showing 9 citing articles:
MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation
Yunming Liao, Yang Xu, Hongli Xu, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 2054-2067
Open Access | Times Cited: 3
Yunming Liao, Yang Xu, Hongli Xu, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 2054-2067
Open Access | Times Cited: 3
EchoPFL
Xiaochen Li, Sicong Liu, Zimu Zhou, et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2024) Vol. 8, Iss. 1, pp. 1-22
Open Access | Times Cited: 2
Xiaochen Li, Sicong Liu, Zimu Zhou, et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2024) Vol. 8, Iss. 1, pp. 1-22
Open Access | Times Cited: 2
Feed: Towards Personalization-Effective Federated Learning
Pengpeng Qiao, Kangfei Zhao, Bei Bi, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 1779-1791
Closed Access | Times Cited: 2
Pengpeng Qiao, Kangfei Zhao, Bei Bi, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 1779-1791
Closed Access | Times Cited: 2
Toward Explainable Multiparty Learning: A Contrastive Knowledge Sharing Framework
Yuan Gao, Yuanqiao Zhang, Maoguo Gong, et al.
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 9, pp. 5283-5296
Closed Access | Times Cited: 1
Yuan Gao, Yuanqiao Zhang, Maoguo Gong, et al.
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 9, pp. 5283-5296
Closed Access | Times Cited: 1
Leveraging local data sampling strategies to improve federated learning
Christoph Düsing, Philipp Cimiano, Benjamin Paaßen
International Journal of Data Science and Analytics (2024)
Open Access | Times Cited: 1
Christoph Düsing, Philipp Cimiano, Benjamin Paaßen
International Journal of Data Science and Analytics (2024)
Open Access | Times Cited: 1
Clients Help Clients: Alternating Collaboration for Semi-Supervised Federated Learning
Zhida Jiang, Xu Yang, Hongli Xu, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 1847-1860
Closed Access
Zhida Jiang, Xu Yang, Hongli Xu, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 1847-1860
Closed Access
CASA: Clustered Federated Learning with Asynchronous Clients
Boyi Liu, Yiming Ma, Zimu Zhou, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 1851-1862
Closed Access
Boyi Liu, Yiming Ma, Zimu Zhou, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 1851-1862
Closed Access
FedSig: A Federated Graph Augmentation for Class-Imbalanced Node Classification
Bei Bi, Zhiwei Zhang, Pengpeng Qiao, et al.
Lecture notes in computer science (2024), pp. 474-490
Closed Access
Bei Bi, Zhiwei Zhang, Pengpeng Qiao, et al.
Lecture notes in computer science (2024), pp. 474-490
Closed Access
An Incentive Mechanism for Consortium Blockchain-based Cross-Silo Federated Learning
Kai Li, Zhicai Zhang, Fang Fu
(2023)
Closed Access
Kai Li, Zhicai Zhang, Fang Fu
(2023)
Closed Access
