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:
FederatedTrust: A solution for trustworthy federated learning
Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Ning Xie, et al.
Future Generation Computer Systems (2023) Vol. 152, pp. 83-98
Open Access | Times Cited: 14
Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Ning Xie, et al.
Future Generation Computer Systems (2023) Vol. 152, pp. 83-98
Open Access | Times Cited: 14
Showing 14 citing articles:
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Pedro Miguel Sánchez Sánchez, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 4, pp. 2983-3013
Closed Access | Times Cited: 126
Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Pedro Miguel Sánchez Sánchez, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 4, pp. 2983-3013
Closed Access | Times Cited: 126
Trustworthy and Explainable Federated System for Extracting Descriptive Rules in a Data Streaming Environment
María Asunción Padilla-Rascón, Ángel Miguel García-Vico, C. J. Carmona
Results in Engineering (2025), pp. 104137-104137
Open Access
María Asunción Padilla-Rascón, Ángel Miguel García-Vico, C. J. Carmona
Results in Engineering (2025), pp. 104137-104137
Open Access
A comprehensive review on Federated Learning for Data-Sensitive Application: Open issues & challenges
Manu Narula, Jasraj Meena, Dinesh Kumar Vishwakarma
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108128-108128
Closed Access | Times Cited: 4
Manu Narula, Jasraj Meena, Dinesh Kumar Vishwakarma
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108128-108128
Closed Access | Times Cited: 4
DART: A Solution for decentralized federated learning model robustness analysis
Chao Feng, Alberto Huertas Celdrán, Jan von der Assen, et al.
Array (2024) Vol. 23, pp. 100360-100360
Open Access | Times Cited: 4
Chao Feng, Alberto Huertas Celdrán, Jan von der Assen, et al.
Array (2024) Vol. 23, pp. 100360-100360
Open Access | Times Cited: 4
Assessing the Sustainability and Trustworthiness of Federated Learning Models
Alberto Huertas Celdrán, Chao Feng, Pedro Miguel Sánchez Sánchez, et al.
(2024)
Open Access | Times Cited: 1
Alberto Huertas Celdrán, Chao Feng, Pedro Miguel Sánchez Sánchez, et al.
(2024)
Open Access | Times Cited: 1
Trustworthy Federated Learning: A Comprehensive Review, Architecture, Key Challenges, and Future Research Prospects
Asadullah Tariq, Mohamed Adel Serhani, Farag Sallabi, et al.
IEEE Open Journal of the Communications Society (2024) Vol. 5, pp. 4920-4998
Open Access | Times Cited: 1
Asadullah Tariq, Mohamed Adel Serhani, Farag Sallabi, et al.
IEEE Open Journal of the Communications Society (2024) Vol. 5, pp. 4920-4998
Open Access | Times Cited: 1
Enabling Trustworthy Federated Learning in Industrial IoT: Bridging the Gap Between Interpretability and Robustness
Senthil Kumar Jagatheesaperumal, Mohamed Rahouti, Ali Alfatemi, et al.
IEEE Internet of Things Magazine (2024) Vol. 7, Iss. 5, pp. 38-44
Open Access | Times Cited: 1
Senthil Kumar Jagatheesaperumal, Mohamed Rahouti, Ali Alfatemi, et al.
IEEE Internet of Things Magazine (2024) Vol. 7, Iss. 5, pp. 38-44
Open Access | Times Cited: 1
Privacy-Preserving Federated Learning for Intrusion Detection in IoT Environments: A Survey
Abhishek Vyas, Po‐Ching Lin, Ren‐Hung Hwang, et al.
IEEE Access (2024) Vol. 12, pp. 127018-127050
Open Access
Abhishek Vyas, Po‐Ching Lin, Ren‐Hung Hwang, et al.
IEEE Access (2024) Vol. 12, pp. 127018-127050
Open Access
Bidirectional Decoupled Distillation For Heterogeneous Federated Learning
Wenshuai Song, Mengwei Yan, Xinze Li, et al.
Entropy (2024) Vol. 26, Iss. 9, pp. 762-762
Open Access
Wenshuai Song, Mengwei Yan, Xinze Li, et al.
Entropy (2024) Vol. 26, Iss. 9, pp. 762-762
Open Access
A personalized federated cloud-edge collaboration framework via cross-client knowledge distillation
Shining Zhang, Xingwei Wang, Rongfei Zeng, et al.
Future Generation Computer Systems (2024) Vol. 165, pp. 107594-107594
Closed Access
Shining Zhang, Xingwei Wang, Rongfei Zeng, et al.
Future Generation Computer Systems (2024) Vol. 165, pp. 107594-107594
Closed Access
A Review on Advancing Cybersecurity Frameworks by Integrating Machine Intelligence with Federated Learning
Vaibhavi Patil, Jhankar Moolchandani, Ashutosh Kumar Dubey
(2024), pp. 180-187
Closed Access
Vaibhavi Patil, Jhankar Moolchandani, Ashutosh Kumar Dubey
(2024), pp. 180-187
Closed Access
A Multifaceted Survey on Federated Learning: Fundamentals, Paradigm Shifts, Practical Issues, Recent Developments, Partnerships, Trade-Offs, Trustworthiness, and Ways Forward
Abdul Majeed, Seong Oun Hwang
IEEE Access (2024) Vol. 12, pp. 84643-84679
Open Access
Abdul Majeed, Seong Oun Hwang
IEEE Access (2024) Vol. 12, pp. 84643-84679
Open Access
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Pedro Miguel Sánchez Sánchez, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 3
Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Pedro Miguel Sánchez Sánchez, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 3
A Trustworthy Federated Learning Framework for Individual Device Identification
Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Gérôme Bovet, et al.
(2023), pp. 1-8
Closed Access
Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Gérôme Bovet, et al.
(2023), pp. 1-8
Closed Access
