Published on in Vol 5 (2026)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/69985, first published
.
Explainable AI Approaches in Federated Learning: Systematic Review
Explainable AI Approaches in Federated Learning: Systematic Review
Journals
- El-Tanani M, Rabbani S, Wali A, Muhana F, El-Tanani Y, Kumar R. Harnessing Machine Learning for Accelerated Drug Discovery: Opportunities and Unmet Challenges. Pharmaceuticals 2026;19(6):810 View
- Dai J, Tan X, Ma J. Artificial intelligence in clinical metagenomic pathogen detection: A critical review of pipeline integrations, challenges, and future directions. Journal of Microbiological Methods 2026;247:107592 View
- Zheng W, Tong Y, Huang J, Zhu L, Chai J. Beyond transparency: why Traditional Chinese Medicine (TCM) need explainable artificial intelligence (XAI). Chinese Medicine 2026;21(1) View
- Touati A, Boufahja F, Ben Hamadi N, Touaitia R, Idres T. Artificial Intelligence Applications in Antimicrobial Resistance: Comprehensive Review of Predictive Models, Diagnostic Innovations, and Clinical Integration. Microbial Drug Resistance 2026 View
Conference Proceedings
- K R, Sankar S, Jenifer.A P, P.Rashmi . 2026 9th International Conference on Trends in Electronics and Informatics (ICOEI). Federated Learning-based Intelligent Intrusion Detection for Secure and Scalable IoT Systems: A Comprehensive Review and Future Directions View
- G K, Parthipan V. 2026 International Conference on Data Science for Cyber-Physical Systems Resilience using Advanced Applications (ICDCA). A Cloud-Enabled Explainable Federated Learning Framework for Intelligent Driver Risk Prediction in Edge-Assisted Transportation System View
- Priya A, Mohanty S, J.Balaji , Chandra Sekhar A, Narendran T, Sai Krishna Kari V. 2026 6th International Conference on Inventive Computation and Information Technologies (ICICIT). Causal Blockchain-Governed Explainable Federated Learning for Trust-Calibrated and Privacy-Preserving Smart Healthcare Ecosystems View