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:
Semi-supervised Federated Learning for Activity Recognition
Yuchen Zhao, Hanyang Liu, Honglin Li, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 35
Yuchen Zhao, Hanyang Liu, Honglin Li, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 35
Showing 1-25 of 35 citing articles:
Handling Privacy-Sensitive Medical Data With Federated Learning: Challenges and Future Directions
Ons Aouedi, Alessio Sacco, Kandaraj Piamrat, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 2, pp. 790-803
Open Access | Times Cited: 61
Ons Aouedi, Alessio Sacco, Kandaraj Piamrat, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 2, pp. 790-803
Open Access | Times Cited: 61
FedHAR: Semi-Supervised Online Learning for Personalized Federated Human Activity Recognition
Hongzheng Yu, Zekai Chen, Xiao Zhang, et al.
IEEE Transactions on Mobile Computing (2021) Vol. 22, Iss. 6, pp. 3318-3332
Closed Access | Times Cited: 56
Hongzheng Yu, Zekai Chen, Xiao Zhang, et al.
IEEE Transactions on Mobile Computing (2021) Vol. 22, Iss. 6, pp. 3318-3332
Closed Access | Times Cited: 56
Multimodal Federated Learning on IoT Data
Yuchen Zhao, Payam Barnaghi, Hamed Haddadi
(2022), pp. 43-54
Open Access | Times Cited: 46
Yuchen Zhao, Payam Barnaghi, Hamed Haddadi
(2022), pp. 43-54
Open Access | Times Cited: 46
Federated Cycling (FedCy): Semi-Supervised Federated Learning of Surgical Phases
Hasan Kassem, Deepak Alapatt, Pietro Mascagni, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 42, Iss. 7, pp. 1920-1931
Open Access | Times Cited: 39
Hasan Kassem, Deepak Alapatt, Pietro Mascagni, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 42, Iss. 7, pp. 1920-1931
Open Access | Times Cited: 39
A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions
Ons Aouedi, Thai-Hoc Vu, Alessio Sacco, et al.
IEEE Communications Surveys & Tutorials (2024), pp. 1-1
Open Access | Times Cited: 12
Ons Aouedi, Thai-Hoc Vu, Alessio Sacco, et al.
IEEE Communications Surveys & Tutorials (2024), pp. 1-1
Open Access | Times Cited: 12
Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models
Zhengming Zhang, Yaoqing Yang, Zhewei Yao, et al.
2021 IEEE International Conference on Big Data (Big Data) (2021), pp. 1214-1225
Open Access | Times Cited: 51
Zhengming Zhang, Yaoqing Yang, Zhewei Yao, et al.
2021 IEEE International Conference on Big Data (Big Data) (2021), pp. 1214-1225
Open Access | Times Cited: 51
FedStack: Personalized activity monitoring using stacked federated learning
Thanveer Shaik, Xiaohui Tao, Niall Higgins, et al.
Knowledge-Based Systems (2022) Vol. 257, pp. 109929-109929
Open Access | Times Cited: 34
Thanveer Shaik, Xiaohui Tao, Niall Higgins, et al.
Knowledge-Based Systems (2022) Vol. 257, pp. 109929-109929
Open Access | Times Cited: 34
Privacy-Preserved Generative Network for Trustworthy Anomaly Detection in Smart Grids: A Federated Semisupervised Approach
Mohamed Abdel‐Basset, Nour Moustafa, Hossam Hawash
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 1, pp. 995-1005
Closed Access | Times Cited: 32
Mohamed Abdel‐Basset, Nour Moustafa, Hossam Hawash
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 1, pp. 995-1005
Closed Access | Times Cited: 32
Semi-supervised and personalized federated activity recognition based on active learning and label propagation
Riccardo Presotto, Gabriele Civitarese, Cláudio Bettini
Personal and Ubiquitous Computing (2022) Vol. 26, Iss. 5, pp. 1281-1298
Open Access | Times Cited: 27
Riccardo Presotto, Gabriele Civitarese, Cláudio Bettini
Personal and Ubiquitous Computing (2022) Vol. 26, Iss. 5, pp. 1281-1298
Open Access | Times Cited: 27
SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training
Enmao Diao, Jie Ding, Vahid Tarokh
arXiv (Cornell University) (2021)
Open Access | Times Cited: 32
Enmao Diao, Jie Ding, Vahid Tarokh
arXiv (Cornell University) (2021)
Open Access | Times Cited: 32
FedCLAR: Federated Clustering for Personalized Sensor-Based Human Activity Recognition
Riccardo Presotto, Gabriele Civitarese, Cláudio Bettini
(2022), pp. 227-236
Open Access | Times Cited: 20
Riccardo Presotto, Gabriele Civitarese, Cláudio Bettini
(2022), pp. 227-236
Open Access | Times Cited: 20
Federated Deep Learning for the Diagnosis of Cerebellar Ataxia: Privacy Preservation and Auto-Crafted Feature Extractor
Thang Ngo, Dinh C. Nguyen, Pubudu N. Pathirana, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 803-811
Open Access | Times Cited: 17
Thang Ngo, Dinh C. Nguyen, Pubudu N. Pathirana, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 803-811
Open Access | Times Cited: 17
Intrusion detection for Softwarized Networks with Semi-supervised Federated Learning
Ons Aouedi, Kandaraj Piamrat, Guillaume Müller, et al.
ICC 2022 - IEEE International Conference on Communications (2022)
Open Access | Times Cited: 17
Ons Aouedi, Kandaraj Piamrat, Guillaume Müller, et al.
ICC 2022 - IEEE International Conference on Communications (2022)
Open Access | Times Cited: 17
Federated Few-Shot Learning for Mobile NLP
Dongqi Cai, Shangguang Wang, Yaozong Wu, et al.
Proceedings of the 28th Annual International Conference on Mobile Computing And Networking (2023), pp. 1-17
Open Access | Times Cited: 10
Dongqi Cai, Shangguang Wang, Yaozong Wu, et al.
Proceedings of the 28th Annual International Conference on Mobile Computing And Networking (2023), pp. 1-17
Open Access | Times Cited: 10
SemiPFL: Personalized Semi-Supervised Federated Learning Framework for Edge Intelligence
Arvin Tashakori, Wenwen Zhang, Z. Jane Wang, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 10, pp. 9161-9176
Open Access | Times Cited: 9
Arvin Tashakori, Wenwen Zhang, Z. Jane Wang, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 10, pp. 9161-9176
Open Access | Times Cited: 9
Ensemble Knowledge Distillation for Federated Semi-Supervised Image Classification
Ertong Shang, Hui Liu, Jingyang Zhang, et al.
Tsinghua Science & Technology (2024) Vol. 30, Iss. 1, pp. 112-123
Open Access | Times Cited: 2
Ertong Shang, Hui Liu, Jingyang Zhang, et al.
Tsinghua Science & Technology (2024) Vol. 30, Iss. 1, pp. 112-123
Open Access | Times Cited: 2
Towards battery-free machine learning and inference in underwater environments
Yuchen Zhao, Sayed Saad Afzal, Waleed Akbar, et al.
(2022), pp. 29-34
Open Access | Times Cited: 10
Yuchen Zhao, Sayed Saad Afzal, Waleed Akbar, et al.
(2022), pp. 29-34
Open Access | Times Cited: 10
Federated Clustering and Semi-Supervised learning: A new partnership for personalized Human Activity Recognition
Riccardo Presotto, Gabriele Civitarese, Cláudio Bettini
Pervasive and Mobile Computing (2022) Vol. 88, pp. 101726-101726
Open Access | Times Cited: 10
Riccardo Presotto, Gabriele Civitarese, Cláudio Bettini
Pervasive and Mobile Computing (2022) Vol. 88, pp. 101726-101726
Open Access | Times Cited: 10
Personalized Semi-Supervised Federated Learning for Human Activity Recognition.
Cláudio Bettini, Gabriele Civitarese, Riccardo Presotto
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 14
Cláudio Bettini, Gabriele Civitarese, Riccardo Presotto
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 14
On the Convergence of Multi-Server Federated Learning With Overlapping Area
Zhe Qu, Xingyu Li, Jie Xu, et al.
IEEE Transactions on Mobile Computing (2022) Vol. 22, Iss. 11, pp. 6647-6662
Open Access | Times Cited: 9
Zhe Qu, Xingyu Li, Jie Xu, et al.
IEEE Transactions on Mobile Computing (2022) Vol. 22, Iss. 11, pp. 6647-6662
Open Access | Times Cited: 9
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
Alejandro Carnero, Omer Waqar, Cristian Martín, et al.
(2024), pp. 1-8
Closed Access | Times Cited: 1
SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision
Chaoyang He, Zhengyu Yang, Erum Mushtaq, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 10
Chaoyang He, Zhengyu Yang, Erum Mushtaq, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 10
A Federated Learning Model With Short Sequence To Point Mechanism For Smart Home Energy Disaggregation
Shamisa Kaspour, Abdulsalam Yassine
2022 IEEE Symposium on Computers and Communications (ISCC) (2022), pp. 1-6
Closed Access | Times Cited: 6
Shamisa Kaspour, Abdulsalam Yassine
2022 IEEE Symposium on Computers and Communications (ISCC) (2022), pp. 1-6
Closed Access | Times Cited: 6
Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models
Zhengming Zhang, Yaoqing Yang, Zhewei Yao, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 8
Zhengming Zhang, Yaoqing Yang, Zhewei Yao, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 8
A Federated Semi-Supervised Learning Approach for Network Traffic Classification
Yao Peng, Meirong He, Yu Wang
arXiv (Cornell University) (2021)
Open Access | Times Cited: 7
Yao Peng, Meirong He, Yu Wang
arXiv (Cornell University) (2021)
Open Access | Times Cited: 7
