📢 Just published our new work on federated random forests for privacy-preserving machine learning!
📄 “A Federated Random Forest Solution for Secure Distributed Machine Learning”
📌 IEEE: https://doi.org/10.1109/CBMS65348.2025.00159

📂 Supplementary slides:
🔗 https://doi.org/10.5281/zenodo.16539345

We're advancing secure AI without sharing data. Feedback & collaborations welcome! 🚀
#FederatedLearning #PrivacyPreservingAI #MachineLearning #OpenScience #IEEE #DataScience #Zenodo #ResearchSoftware #Reproducibility

🔐 Can data privacy and AI innovation truly coexist in healthcare?

🔗 Revolutionizing healthcare data analytics with federated learning: A comprehensive survey of applications, systems, and future directions. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.06.009

📚 CSBJ Smart Hospital: https://www.csbj.org/smarthospital

#AI #HealthcareInnovation #FederatedLearning #PrivacyPreservingAI #HealthTech #MedicalAI #DataPrivacy #Neurotech #DigitalHealth #HealthcareAI #MedicalInnovation

🔬 This study explores how Federated Learning (FL) can revolutionize medical AI by enhancing generalizability while preserving patient privacy.

🔗 Towards generalizable Federated Learning in medical imaging: A real-world case study on mammography data. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.03.031

📚 CSBJ Smart Hospital: https://www.csbj.org/smarthospital

#FederatedLearning #MedicalAI #Mammography #PrivacyPreservingAI #HealthcareInnovation #MedicalInformatics