Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

FedGKD: Toward Heterogeneous Federated Learning via Global Knowledge Distillation
Dezhong Yao, Wanning Pan, Yutong Dai, et al.
IEEE Transactions on Computers (2023) Vol. 73, Iss. 1, pp. 3-17
Closed Access | Times Cited: 12

Showing 12 citing articles:

End-Edge-Cloud Collaborative Computing for Deep Learning: A Comprehensive Survey
Yingchao Wang, Chen Yang, Shulin Lan, et al.
IEEE Communications Surveys & Tutorials (2024) Vol. 26, Iss. 4, pp. 2647-2683
Closed Access | Times Cited: 23
ATD Learning: A secure, smart, and decentralised learning method for big data environments
Laith Alzubaidi, Sabah Abdulazeez Jebur, Tanya Abdulsattar Jaber, et al.
Information Fusion (2025), pp. 102953-102953
Open Access | Times Cited: 2
LLM-Based Edge Intelligence: A Comprehensive Survey on Architectures, Applications, Security and Trustworthiness
Othmane Friha, Mohamed Amine Ferrag, Burak Kantarcı, et al.
IEEE Open Journal of the Communications Society (2024) Vol. 5, pp. 5799-5856
Open Access | Times Cited: 11
Bidirectional domain transfer knowledge distillation for catastrophic forgetting in federated learning with heterogeneous data
Qi Min, Fei Luo, Wenbo Dong, et al.
Knowledge-Based Systems (2025), pp. 113008-113008
Closed Access
Federated ensemble learning on long-tailed data with prototypes
Yang Li, Xin Liu, Kan Li
Intelligent Data Analysis (2025)
Closed Access
Learn the global prompt in the low-rank tensor space for heterogeneous federated learning
Lele Fu, Sheng Huang, Yuecheng Li, et al.
Neural Networks (2025) Vol. 187, pp. 107319-107319
Closed Access
Parameter-oriented contrastive schema and multi-level knowledge distillation for heterogeneous federated learning
Lele Fu, Yuecheng Li, Sheng Huang, et al.
Information Fusion (2025), pp. 103123-103123
Closed Access
Federated learning for digital healthcare: concepts, applications, frameworks, and challenges
D N Sachin, B. Annappa, Sateesh Ambesange
Computing (2024) Vol. 106, Iss. 9, pp. 3113-3150
Closed Access | Times Cited: 2
Rethinking Personalized Federated Learning from Knowledge Perspective
Dezhong Yao, Ziquan Zhu, Tongtong Liu, et al.
(2024), pp. 991-1000
Open Access | Times Cited: 1
Knowledge Distillation Enables Federated Learning: A Data-free Federated Aggregation Scheme
Jiayi Huang, Yuanyuan Zhang, Renwan Bi, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 56, pp. 1-7
Closed Access
Federated Learning With Selective Knowledge Distillation Over Bandwidth-constrained Wireless Networks
Gad Gad, Zubair Md. Fadlullah, Mostafa M. Fouda, et al.
ICC 2022 - IEEE International Conference on Communications (2024), pp. 3476-3481
Closed Access
A Heterogeneous Federated Learning Method Based on Dual Teachers Knowledge Distillation
Siyuan Wu, Hao Tian, Weiran Zhang, et al.
Lecture notes in computer science (2024), pp. 192-207
Closed Access
Page 1

Scroll to top