metadata
license: apache-2.0
base_model:
- ncbi/MedCPT-Query-Encoder
tags:
- federated-learning
- blockchain
- healthcare
- clinical-nlp
- semantic-search
- privacy-preserving
pipeline_tag: feature-extraction
Global Model: Decentralized Federated Learning for Distributed Hospitals
This repository hosts the global model weights aggregated during the decentralized federated learning process across distributed clinical institutions. The aggregation coordination, model integrity verification, and round participation are orchestrated via a blockchain network to ensure auditability, zero data leakage, and Byzantine fault tolerance.
Model Details
Model Description
- Model type: Biomedical Query Encoder / Text Feature Extraction
- Language(s) (NLP): English
- License: Apache-2.0
- Finetuned from model:
ncbi/MedCPT-Query-Encoder - Federated Scheme: Decentralized On-Chain Aggregation (e.g., FedAvg / Smart Contract Consensus)
Model Sources
- Repository: GitHub: Decentralized-Systems-and-Applications/Federated_Learning_with_Blockchain_for_Distributed_Hospitals
- Demo : [ Demo Video (https://drive.google.com/file/d/11C0rO3Zjp7459Yn7012KK0VBu-refau_/view)]
Uses
Direct Use
Generating dense clinical embeddings for biomedical text retrieval, semantic document matching, and hospital query classification without exposing institutional private training data.
Downstream Use
Integrating into distributed clinical decision support systems (CDSS), electronic health record (EHR) cross-search, or zero-trust medical intelligence pipelines.
Out-of-Scope Use
- Automated diagnosis or medication prescribing without human clinician oversight.
- Handling tasks completely outside the clinical and biomedical domain without domain-specific re-evaluation.