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:
Privacy vs. Efficiency: Achieving Both Through Adaptive Hierarchical Federated Learning
Yeting Guo, Fang Liu, Tongqing Zhou, et al.
IEEE Transactions on Parallel and Distributed Systems (2023) Vol. 34, Iss. 4, pp. 1331-1342
Closed Access | Times Cited: 7
Yeting Guo, Fang Liu, Tongqing Zhou, et al.
IEEE Transactions on Parallel and Distributed Systems (2023) Vol. 34, Iss. 4, pp. 1331-1342
Closed Access | Times Cited: 7
Showing 7 citing articles:
Hierarchical Aggregation for Federated Learning in Heterogeneous IoT Scenarios: Enhancing Privacy and Communication Efficiency
Chen Qiu, Z.D. Wu, Haoda Wang, et al.
Future Internet (2025) Vol. 17, Iss. 1, pp. 18-18
Open Access
Chen Qiu, Z.D. Wu, Haoda Wang, et al.
Future Internet (2025) Vol. 17, Iss. 1, pp. 18-18
Open Access
InvMetrics: Measuring Privacy Risks for Split Model–Based Customer Behavior Analysis
Ruijun Deng, Shijing Hu, Junxiong Lin, et al.
IEEE Transactions on Consumer Electronics (2024) Vol. 70, Iss. 1, pp. 4168-4177
Closed Access | Times Cited: 2
Ruijun Deng, Shijing Hu, Junxiong Lin, et al.
IEEE Transactions on Consumer Electronics (2024) Vol. 70, Iss. 1, pp. 4168-4177
Closed Access | Times Cited: 2
US-Byte: An Efficient Communication Framework for Scheduling Unequal-Sized Tensor Blocks in Distributed Deep Learning
Yunqi Gao, Bing Hu, Mahdi Boloursaz Mashhadi, et al.
IEEE Transactions on Parallel and Distributed Systems (2023) Vol. 35, Iss. 1, pp. 123-139
Open Access | Times Cited: 2
Yunqi Gao, Bing Hu, Mahdi Boloursaz Mashhadi, et al.
IEEE Transactions on Parallel and Distributed Systems (2023) Vol. 35, Iss. 1, pp. 123-139
Open Access | Times Cited: 2
Towards Value-Sensitive and Poisoning-Proof Model Aggregation for Federated Learning on Heterogeneous Data
Hui Zeng, Tongqing Zhou, Yeting Guo, et al.
(2024)
Closed Access
Hui Zeng, Tongqing Zhou, Yeting Guo, et al.
(2024)
Closed Access
Inference Load-Aware Orchestration for Hierarchical Federated Learning
Anna Lackinger, Pantelis A. Frangoudis, Ivan Čilić, et al.
(2024), pp. 1-9
Closed Access
Anna Lackinger, Pantelis A. Frangoudis, Ivan Čilić, et al.
(2024), pp. 1-9
Closed Access
Towards Value-sensitive and Poisoning-proof Model Aggregation for Federated Learning on Heterogeneous Data
Zeng Hui, Tongqing Zhou, Yeting Guo, et al.
Journal of Parallel and Distributed Computing (2024) Vol. 196, pp. 104994-104994
Closed Access
Zeng Hui, Tongqing Zhou, Yeting Guo, et al.
Journal of Parallel and Distributed Computing (2024) Vol. 196, pp. 104994-104994
Closed Access
A Survey on Bias Mitigation in Federated Learning
Bassey Ude, Olusola T. Odeyomi, Kaushik Roy, et al.
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2023), pp. 1170-1175
Closed Access
Bassey Ude, Olusola T. Odeyomi, Kaushik Roy, et al.
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2023), pp. 1170-1175
Closed Access
