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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:

Asynchronous Federated Continual Learning
Donald Shenaj, Marco Toldo, Alberto Rigon, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023), pp. 5055-5063
Open Access | Times Cited: 20

Showing 20 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: 17
A collective AI via lifelong learning and sharing at the edge
Andrea Soltoggio, Eseoghene Ben-Iwhiwhu, Vladimir Braverman, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 3, pp. 251-264
Open Access | Times Cited: 10
Sparse Personalized Federated Class-Incremental Learning
Youchao Liu, Dingjiang Huang
Information Sciences (2025), pp. 121992-121992
Closed Access
Federated Learning in Computer Vision
Donald Shenaj, Giulia Rizzoli, Pietro Zanuttigh
IEEE Access (2023) Vol. 11, pp. 94863-94884
Open Access | Times Cited: 13
General Federated Class-Incremental Learning With Lightweight Generative Replay
Yuanlu Chen, Alysa Ziying Tan, Siwei Feng, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 20, pp. 33927-33939
Closed Access | Times Cited: 1
Continual Learning for Smart City: A Survey
Li Yi Yang, Zhipeng Luo, Shiming Zhang, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 12, pp. 7805-7824
Open Access | Times Cited: 1
Distributed Federated and Incremental Learning for Electric Vehicles Model Development in Kafka-ML
Alejandro Carnero, Omer Waqar, Cristian Martín, et al.
(2024), pp. 1-8
Closed Access | Times Cited: 1
PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning
Haiyang Guo, Fei Zhu, Wenzhuo Liu, et al.
Lecture notes in computer science (2024), pp. 141-159
Closed Access | Times Cited: 1
Measuring Asymmetric Gradient Discrepancy in Parallel Continual Learning
Fan Lyu, Qing Sun, Fanhua Shang, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 11377-11386
Closed Access | Times Cited: 3
Distributed Continual Learning With CoCoA in High-Dimensional Linear Regression
Martin Hellkvist, Ayça Özçelikkale, Anders Åhlén
IEEE Transactions on Signal Processing (2024) Vol. 72, pp. 1015-1031
Open Access
Federated Learning Approach to Safeguard User Privacy
Aryan Bansal, Karmel Arockiasamy
Advances in healthcare information systems and administration book series (2024), pp. 104-120
Closed Access
FedSKF: Selective Knowledge Fusion via Optimal Transport in Federated Class Incremental Learning
Minghui Zhou, Xiangfeng Wang
Electronics (2024) Vol. 13, Iss. 9, pp. 1772-1772
Open Access
RRA-FFSCIL: Inter-intra classes representation and relationship augmentation federated few-shot incremental learning
Yalan Jiang, Yang Cheng, Dan Wang, et al.
Neurocomputing (2024) Vol. 597, pp. 127956-127956
Closed Access
Federated continual representation learning for evolutionary distributed intrusion detection in Industrial Internet of Things
Zhao Zhang, Yong Zhang, Hao Li, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108826-108826
Closed Access
A Multi-Head Federated Continual Learning Approach for Improved Flexibility and Robustness in Edge Environments
Chunlu Chen, Kevin I‐Kai Wang, Peng Li, et al.
International Journal of Networking and Computing (2024) Vol. 14, Iss. 2, pp. 123-144
Open Access
Inference Load-Aware Orchestration for Hierarchical Federated Learning
Anna Lackinger, Pantelis A. Frangoudis, Ivan Čilić, et al.
(2024), pp. 1-9
Closed Access
GCPN: A Group Connected based Method for Continual Vertical Federated Recommender Systems in Data Ecosystems
Haochen Yuan, Xiang He, Ruihan Hu, et al.
(2024) Vol. abs/2211.12814, pp. 35-44
Closed Access
Pick-a-Back: Selective Device-to-Device Knowledge Transfer in Federated Continual Learning
JinYi Yoon, HyungJune Lee
Lecture notes in computer science (2024), pp. 165-182
Closed Access
FedRewind: Rewinding Continual Model Exchange for Decentralized Federated Learning
Luca Palazzo, Matteo Pennisi, Federica Proietto Salanitri, et al.
Lecture notes in computer science (2024), pp. 79-94
Closed Access
MedTimeSplit: Continual dataset partitioning to mimic real-world settings for federated learning on Non-IID medical image data
Erikson J. de Aguiar, Agma J. M. Traina, Sumi Helal
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 7612-7621
Closed Access
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