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Federated Learning Frameworks for Distributed Multi-Institutional Cancer Survival Networks

Ai Cancer Biology

Neural Networks Cancer Survival Prediction Modeling

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Ai Cancer Biology › Neural Networks Cancer Survival Prediction Modeling

Federated Learning Frameworks for Distributed Multi-Institutional Cancer Survival Networks

This research develops federated learning protocols enabling collaborative neural network training across multiple hospitals and research institutions without sharing sensitive patient data. The contribution advances privacy-preserving machine learning in oncology while leveraging larger aggregate datasets to build more robust, generalizable survival prediction models.

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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal

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