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OpenAlex Citation Counts

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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:

Decentralized Federated Learning Preserves Model and Data Privacy
Thorsten Wittkopp, Alexander Acker
Lecture notes in computer science (2021), pp. 176-187
Closed Access | Times Cited: 22

Showing 22 citing articles:

Decentralized federated learning through proxy model sharing
Shivam Kalra, Junfeng Wen, Jesse C. Cresswell, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 56
Federated Quantum Machine Learning
Samuel Yen-Chi Chen, Shinjae Yoo
Entropy (2021) Vol. 23, Iss. 4, pp. 460-460
Open Access | Times Cited: 97
Federated and transfer learning for cancer detection based on image analysis
Amine Bechar, Rafik Medjoudj, Youssef Elmir, et al.
Neural Computing and Applications (2025)
Open Access | Times Cited: 1
Applying Federated Learning in Software-Defined Networks: A Survey
Xiaohang Ma, Lingxia Liao, Zhi Li, et al.
Symmetry (2022) Vol. 14, Iss. 2, pp. 195-195
Open Access | Times Cited: 29
Deep data plane programming and AI for zero-trust self-driven networking in beyond 5G
Othmane Hireche, Chafika Benzaıd, Tarik Taleb
Computer Networks (2021) Vol. 203, pp. 108668-108668
Open Access | Times Cited: 33
A2Log: Attentive Augmented Log Anomaly Detection
Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, et al.
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences (2022)
Open Access | Times Cited: 20
DFL topology optimization based on peer weighting mechanism and graph neural network in digital twin platform
Nguyen Anh Tuan, Atif Rizwan, Sa Jim Soe Moe, et al.
Complex & Intelligent Systems (2025) Vol. 11, Iss. 6
Open Access
Clustered Hierarchical Distributed Federated Learning
Yan Gou, Ruiyu Wang, Zongyao Li, et al.
ICC 2022 - IEEE International Conference on Communications (2022), pp. 177-182
Closed Access | Times Cited: 9
Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper
Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 8
ProxyFL: Decentralized Federated Learning through Proxy Model Sharing
Shivam Kalra, Junfeng Wen, Jesse C. Cresswell, et al.
Research Square (Research Square) (2021)
Open Access | Times Cited: 7
Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud
Jonathan Will, Onur Arslan, Jonathan Bader, et al.
2021 IEEE International Conference on Big Data (Big Data) (2021), pp. 3141-3146
Open Access | Times Cited: 6
LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision
Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, et al.
Lecture notes in computer science (2021), pp. 700-707
Open Access | Times Cited: 6
Distributed Deep Learning in Open Collaborations
M.G. Diskin, Alexey Bukhtiyarov, Max Ryabinin, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 4
Landscape and Taxonomy of Online Parser-Supported Log Anomaly Detection Methods
Scott Lupton, Hironori Washizaki, Nobukazu Yoshioka, et al.
IEEE Access (2024) Vol. 12, pp. 78193-78218
Open Access
Ensuring Data Security and Annotators Anonymity Through a Secure and Anonymous Multiparty Annotation System
Dany Rimez, Axel Legay, Benoît Macq
Lecture notes in networks and systems (2024), pp. 620-631
Closed Access
Blockchain-Driven Distributed Edge Intelligence for Enhanced Internet-of-Vehicles
Xiaofu Chen, Weizhi Meng, Haosheng Huang
IEEE Internet of Things Journal (2024) Vol. 12, Iss. 5, pp. 4773-4782
Closed Access
Incorporating Privacy by Design Principles in the Modification of AI Systems in Preventing Breaches across Multiple Environments, Including Public Cloud, Private Cloud, and On-prem
Samuel Ufom Okon, Omobolaji Olufunmilayo Olateju, Olumide Samuel Ogungbemi, et al.
SSRN Electronic Journal (2024)
Closed Access
DPMF: Decentralized Probabilistic Matrix Factorization for Privacy-Preserving Recommendation
Xu Yang, Yuchuan Luo, Shaojing Fu, et al.
Applied Sciences (2022) Vol. 12, Iss. 21, pp. 11118-11118
Open Access | Times Cited: 2
Towards a Secure Peer-to-Peer Federated Learning Framework
Tim Piotrowski, Zoltán Nochta
Communications in computer and information science (2022), pp. 19-31
Closed Access | Times Cited: 1
Performance Evaluation of Federated Learning for Anomaly Network Detection
Roudha Alhammadi, Amjad Gawanmeh, Shadi Atalla, et al.
(2023), pp. 116-122
Closed Access
Consensus Based Vertically Partitioned Multi-layer Perceptrons for Edge Computing
Haimonti Dutta, Saurabh Amarnath Mahindre, N. Nataraj
Lecture notes in computer science (2021), pp. 253-267
Closed Access
LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision.
Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, et al.
arXiv (Cornell University) (2021)
Closed Access
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