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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:

Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments
Rui Song, Dai Liu, Dave Zhenyu Chen, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-10
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Dataset Distillation: A Comprehensive Review
Ruonan Yu, Songhua Liu, Xinchao Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 46, Iss. 1, pp. 150-170
Open Access | Times Cited: 51
Slimmable Dataset Condensation
Songhua Liu, Jingwen Ye, Runpeng Yu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 3759-3768
Closed Access | Times Cited: 34
A Comprehensive Survey of Dataset Distillation
Shiye Lei, Dacheng Tao
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 46, Iss. 1, pp. 17-32
Closed Access | Times Cited: 28
V2XP-ASG: Generating Adversarial Scenes for Vehicle-to-Everything Perception
Hao Xiang, Runsheng Xu, Xin Xia, et al.
(2023)
Open Access | Times Cited: 25
Accelerating Dataset Distillation via Model Augmentation
Lei Zhang, Jie Zhang, Bowen Lei, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 21
Data-Centric Green Artificial Intelligence: A Survey
Shirin Salehi, Anke Schmeink
IEEE Transactions on Artificial Intelligence (2023) Vol. 5, Iss. 5, pp. 1973-1989
Closed Access | Times Cited: 16
Pathogenomics for accurate diagnosis, treatment, prognosis of oncology: a cutting edge overview
Xiaobing Feng, Wen Shu, M. Li, et al.
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 6
Network Sliced Distributed Learning-as-a-Service for Internet of Vehicles Applications in 6G Non-Terrestrial Network Scenarios
David Naseh, Swapnil Sadashiv Shinde, Daniele Tarchi
Journal of Sensor and Actuator Networks (2024) Vol. 13, Iss. 1, pp. 14-14
Open Access | Times Cited: 5
Backdoor Attacks Against Dataset Distillation
Yugeng Liu, Zheng Li, Michael Backes, et al.
(2023)
Open Access | Times Cited: 14
A Dynamic Adaptive and Resource-Allocated Selection Method Based on TOPSIS and VIKOR in Federated Learning
Lin Li, Wei Shi, Shuyu Chen, et al.
Neural Processing Letters (2024) Vol. 56, Iss. 2
Open Access | Times Cited: 4
FedPE: Adaptive Model Pruning-Expanding for Federated Learning on Mobile Devices
Liping Yi, Xiaorong Shi, Nan Wang, et al.
IEEE Transactions on Mobile Computing (2024) Vol. 23, Iss. 11, pp. 10475-10493
Closed Access | Times Cited: 3
Optimal Transport-Based One-Shot Federated Learning for Artificial Intelligence of Things
Yi-Han Chiang, Koudai Terai, Tsung-Wei Chiang, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 2, pp. 2166-2180
Closed Access | Times Cited: 7
ResFed: Communication-Efficient Federated Learning With Deep Compressed Residuals
Rui Song, Liguo Zhou, Lingjuan Lyu, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 6, pp. 9458-9472
Open Access | Times Cited: 7
Importance-aware adaptive dataset distillation
Guang Li, Ren Togo, Takahiro Ogawa, et al.
Neural Networks (2024) Vol. 172, pp. 106154-106154
Open Access | Times Cited: 1
Federated deep long-tailed learning: A survey
Kan Li, Yang Li, Ji Zhang, et al.
Neurocomputing (2024) Vol. 595, pp. 127906-127906
Closed Access | Times Cited: 1
Experience Consistency Distillation Continual Reinforcement Learning for Robotic Manipulation Tasks
Chao Zhao, Jie Xu, Ru Peng, et al.
(2024), pp. 501-507
Closed Access | Times Cited: 1
OFPP-GAN: One-Shot Federated Personalized Protection–Generative Adversarial Network
Zhenyu Jiang, Changli Zhou, Hui Tian, et al.
Electronics (2024) Vol. 13, Iss. 17, pp. 3423-3423
Open Access | Times Cited: 1
Intelligent Roadside Infrastructure for Connected Mobility
Shiva Agrawal, Rui Song, Kristina Doycheva, et al.
Communications in computer and information science (2023), pp. 134-157
Closed Access | Times Cited: 3
Communication-Efficient Federated Skin Lesion Classification with Generalizable Dataset Distillation
Yuchen Tian, Jiacheng Wang, Yueming Jin, et al.
Lecture notes in computer science (2023), pp. 14-24
Closed Access | Times Cited: 2
Towards A Visualisation Ontology for Reusable Visual Analytics
Baifan Zhou, Zhipeng Tan, Zhuoxun Zheng, et al.
(2022), pp. 99-103
Closed Access | Times Cited: 3
Enhancing Central Model Performance: Leveraging Federated Learning Across Virtual Machine Networks for Distributed Training and Synchronization
Ronit Virwani, Shubhangi Bhattacharya
International Journal of Advanced Research in Science Communication and Technology (2024), pp. 547-555
Open Access
One-Shot Federated Learning with Label Differential Privacy
Zikang Chen, Changli Zhou, Zhenyu Jiang
Electronics (2024) Vol. 13, Iss. 10, pp. 1815-1815
Open Access
Dataset distillation-based optimization for heterogeneous federated learning
Haozhe Jin, Shuai Zhao, Yutao Zhang, et al.
Research Square (Research Square) (2024)
Open Access
Adaptive Backdoor Attacks Against Dataset Distillation for Federated Learning
Ze Chai, Zhipeng Gao, Yijing Lin, et al.
ICC 2022 - IEEE International Conference on Communications (2024), pp. 4614-4619
Closed Access
Hierarchical federated learning based on ordinal patterns for detecting sedentary behavior
Pedro H. Barros, Judy C. Guevara, Leandro A. Villas, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-8
Closed Access
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