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:
Heterogeneous Training Intensity for Federated Learning: A Deep Reinforcement Learning Approach
Manying Zeng, Xiumin Wang, Weijian Pan, et al.
IEEE Transactions on Network Science and Engineering (2022) Vol. 10, Iss. 2, pp. 990-1002
Closed Access | Times Cited: 5
Manying Zeng, Xiumin Wang, Weijian Pan, et al.
IEEE Transactions on Network Science and Engineering (2022) Vol. 10, Iss. 2, pp. 990-1002
Closed Access | Times Cited: 5
Showing 5 citing articles:
Federated Reinforcement Learning in IoT: Applications, Opportunities and Open Challenges
Euclides Carlos Pinto Neto, Somayeh Sadeghi, Xichen Zhang, et al.
Applied Sciences (2023) Vol. 13, Iss. 11, pp. 6497-6497
Open Access | Times Cited: 16
Euclides Carlos Pinto Neto, Somayeh Sadeghi, Xichen Zhang, et al.
Applied Sciences (2023) Vol. 13, Iss. 11, pp. 6497-6497
Open Access | Times Cited: 16
Limitations and Future Aspects of Communication Costs in Federated Learning: A Survey
Muhammad Asad, Saima Shaukat, Dou Hu, et al.
Sensors (2023) Vol. 23, Iss. 17, pp. 7358-7358
Open Access | Times Cited: 11
Muhammad Asad, Saima Shaukat, Dou Hu, et al.
Sensors (2023) Vol. 23, Iss. 17, pp. 7358-7358
Open Access | Times Cited: 11
Prototype-Based Decentralized Federated Learning for the Heterogeneous Time-Varying IoT Systems
Baosheng Li, Weifeng Gao, Jin Xie, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 4, pp. 6916-6927
Closed Access | Times Cited: 8
Baosheng Li, Weifeng Gao, Jin Xie, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 4, pp. 6916-6927
Closed Access | Times Cited: 8
Time-Sensitive Federated Learning With Heterogeneous Training Intensity: A Deep Reinforcement Learning Approach
Weijian Pan, Xiumin Wang, Pan Zhou, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2024) Vol. 8, Iss. 2, pp. 1402-1415
Closed Access | Times Cited: 2
Weijian Pan, Xiumin Wang, Pan Zhou, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2024) Vol. 8, Iss. 2, pp. 1402-1415
Closed Access | Times Cited: 2
Decentralized asynchronous adaptive federated learning algorithm for securely prediction of distributed power data
Qiang Li, Di Liu, Hui Cao, et al.
Frontiers in Energy Research (2024) Vol. 11
Open Access | Times Cited: 2
Qiang Li, Di Liu, Hui Cao, et al.
Frontiers in Energy Research (2024) Vol. 11
Open Access | Times Cited: 2
