Federated learning for secure IoMT-applications in smart healthcare systems: A comprehensive review

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Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems

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Construction Quality Hazard Management with Deep Learning–Based Multimodal Storage Strategy–Enabled Blockchain

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Machine Learning Based Remote Health Care Data Monitoring and Prediction System Using IoMT

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Hybrid Ensemble Lightweight Cryptosystem for Internet of Medical Things Security

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Legal implications of federated learning integration in digital healthcare systems

Imoize, A. L., Obaidat, M. S., & Song, H. H. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-13897-3.00014-x · Cited by 3 · see citing works

FedEmo: A Federated Learning Framework for Privacy-Preserving Emotion Detection From Handwriting on Consumer IoMT Devices

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Integration of metaheuristic and machine learning in Cloud-Fog-Edge IoMT applications: a survey

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Federated deep learning with clustering-based aggregation for medical diagnosis

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An Efficient Clinical Decision Support Framework Using IoMT Based on Explainable and Trustworthy Artificial Intelligence with Transformer Model and Blockchain-Integrated Chunking

Arslanoğlu, K., & Karaköse, M. (2025) · Diagnostics · doi:10.3390/diagnostics16010007 · Cited by 3 · see citing works

Federated Learning for Secure and Privacy‐Aware Internet of Medical Things: Taxonomy, Emerging Applications, Open Challenges, and Future Directions

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Federated Learning Application for Secure and Privacy-Aware Internet of Medical Things

Khatoon1, D. V. L. P. R. (2026) · International Journal of Engineering Research and Science & Technology

FEDERATED LEARNING FOR SECURE IOMT APPLICATIONS IN SMART HEALTHCARE SYSTEMS

Mitra, P., Karmakar, S., Sinha, S., Prasad, S., Das, S. P., & Mukherjee, T. (2026) · Iterative International Publishers eBooks · doi:10.58532/nbennuraisd14

Privacy-Preserving Federated Learning Framework for IoMT Smart Healthcare Applications

Manzoor, S. I., Jain, S., & Singh, Y. P. (2025) · International Conference on Electronics, AI and Computing (EAIC) · doi:10.1109/eaic66483.2025.11101398 · Cited by 4 · see citing works

A survey on federated learning for security and privacy in healthcare applications

Coelho, K. K., Nogueira, M., Vieira, A. B., Silva, E. F., & Nacif, J. A. M. (2023) · Computer Communications · doi:10.1016/j.comcom.2023.05.012 · Cited by 64 · see citing works