Published on in Vol 25 (2023)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/43006, first published
.
Journals
- Liang X, Zhao J, Chen Y, Bandara E, Shetty S. Architectural Design of a Blockchain-Enabled, Federated Learning Platform for Algorithmic Fairness in Predictive Health Care: Design Science Study. Journal of Medical Internet Research 2023;25:e46547 View
- Fan K, Xu C, Cao X, Jiao K, Mo W. Tri-branch feature pyramid network based on federated particle swarm optimization for polyp segmentation. Mathematical Biosciences and Engineering 2024;21(1):1610 View
- Wang T, Zhang K, Cai J, Gong Y, Choo K, Guo Y. Analyzing the Impact of Personalization on Fairness in Federated Learning for Healthcare. Journal of Healthcare Informatics Research 2024;8(2):181 View
- Al-masni M, Marzban E, Al-Shamiri A, Al-antari M, Alabdulhafith M, Mahmoud N, Abdel Samee N, Kadah Y. Gait Impairment Analysis Using Silhouette Sinogram Signals and Assisted Knowledge Learning. Bioengineering 2024;11(5):477 View
- Freitas J, Bischof O. Computational modeling of aging-related gene networks: a review. Frontiers in Applied Mathematics and Statistics 2024;10 View
- Belal Y, Ben Mokhtar S, Haddadi H, Wang J, Mashhadi A. Survey of Federated Learning Models for Spatial-Temporal Mobility Applications. ACM Transactions on Spatial Algorithms and Systems 2024;10(3):1 View
- Majeed A, Hwang S. A Multifaceted Survey on Federated Learning: Fundamentals, Paradigm Shifts, Practical Issues, Recent Developments, Partnerships, Trade-Offs, Trustworthiness, and Ways Forward. IEEE Access 2024;12:84643 View
- Manzoor H, Shabbir A, Chen A, Flynn D, Zoha A. A Survey of Security Strategies in Federated Learning: Defending Models, Data, and Privacy. Future Internet 2024;16(10):374 View
- Zhou Y, Wang J, Kong X, Wu S, Xie X, Qi H. Exploring Amplified Heterogeneity Arising From Heavy-Tailed Distributions in Federated Learning. IEEE Transactions on Mobile Computing 2024;23(12):11519 View
- Huang G, Wu Q, Li J, Chen X. IMFL-AIGC: Incentive Mechanism Design for Federated Learning Empowered by Artificial Intelligence Generated Content. IEEE Transactions on Mobile Computing 2024;23(12):12603 View
- Vajrobol V, Singh S, Saxena G, Pundir A, Gaurav A, Bansal S, Attar R, Rahman M, Gupta B. A Comprehensive Survey on Federated Learning Applications in Computational Mental Healthcare. Computer Modeling in Engineering & Sciences 2025;142(1):49 View
- Rishu ., Kukreja V, Hariharan S, Dogra A, Goyal B. Information Modeling Technique to Decipher Research Trends of Federated Learning in Healthcare. The Open Neuroimaging Journal 2025;18(1) View
- Kapsecker M, Jonas S, Tsaneva-Atanasova K. Cross-device federated unsupervised learning for the detection of anomalies in single-lead electrocardiogram signals. PLOS Digital Health 2025;4(4):e0000793 View
- Yang M, Ngai E, Hu X, Hu B, Liu J, Gelenbe E, Leung V. Digital Phenotyping and Feature Extraction on Smartphone Data for Depression Detection. Proceedings of the IEEE 2024;112(12):1773 View
Books/Policy Documents
- Chengxi H, Rajawat A, Goyal S, Solanki R. Intelligent Computing and Optimization. View
Conference Proceedings
- Negi V, Chinara S. 2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech). Study of MobileNets Model in Federated Learning View
- Sharma A, Tripathi T, Majumdar A. 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). Enhancing Edge-based Cardiovascular Diagnosis through Federated Learning and IoT View
- Sharma P, Kashniyal J, ESham E. 2024 4th International Conference on Advancement in Electronics & Communication Engineering (AECE). An Insight into Federated Learning: A Collaborative Approach for Machine Learning View