A Secure Architecture for Deploying Machine Learning Models in Distributed Healthcare Settings

Introduction: This work presents a proposed architecture that enables the secure deployment of machine learning (ML) models in distributed healthcare environments. ML models are typically developed in centralized environments, but their deployment in healthcare occurs in decentralized, highly protected [for full text, please go to the a.m. URL]

Institutions

Publication Details

Journal
German Medical Science (German Research Foundation)
Published
2025-11-03
DOI
https://doi.org/10.3205/25gmds131
Primary Topic
Information and Cyber Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Secure Architecture for Deploying Machine Learning Models in Distributed Healthcare Settings

German Medical Science (German Research Foundation)
Information and Cyber Security
article

A Secure Architecture for Deploying Machine Learning Models in Distributed Healthcare Settings

article en

Abstract

Introduction: This work presents a proposed architecture that enables the secure deployment of machine learning (ML) models in distributed healthcare environments. ML models are typically developed in centralized environments, but their deployment in healthcare occurs in decentralized, highly protected [for full text, please go to the a.m. URL]

German Medical Science (German Research Foundation)
Universities of Giessen and Marburg Lung Center (DE), RWTH Aachen University (DE)
Openalex Percentile: Top 32%
Information and Cyber Security
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Secure Architecture for Deploying Machine Learning Models in Distributed Healthcare Settings · German Medical Science (German Research Foundation) (2025) | TGRS Research Map | TGRS