Article

Adaptive Trust-Driven Federated Learning with Blockchain for Secure AI Healthcare Diagnostics

2025-09-03

Abstract excerpt

Healthcare supply chains and IoMT-driven clinical monitoring increasingly rely on real-time data exchange, yet remain vulnerable to adversarial attacks, counterfeit drug distribution, and privacy violations. Traditional federated learning improves data confidentiality but struggles with malicious nodes, spoofing, and unreliable participation. To address these gaps, this work proposes the Adaptive Trust-Driven Bloc...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: f8dfd349-a28e-55d7-9237-029bc914a523
DOI: 10.22541/au.175692076.67282745/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Adaptive Trust-Driven Federated Learning with Blockchain for Secure AI Healthcare DiagnosticsDOI 10.22541/au.175692076.67282745/v1Read

A Blockchain-Based Federated Learning Approach with Secure Third-Party Computation System for Securing Electronic Health RecordsSemantic proximity Read

Design and Analysis of an Integrated AI-Driven andBlockchain-Enabled Connected Framework forNext-Generation Oncology ApplicationsSemantic proximity Read

BlockFed: Blockchain-based Privacy Preserving Federated Learning for 5G-assisted Healthcare EcosystemsSemantic proximity Read

<em>safeMEDInet</em>: Federated AI Systems for Security and Privacy-Preserving Threat Detection in Distributed HealthcareSemantic proximity Read

Blockchain-Integrated IoT Framework for Patient Monitoring Using Optimized Multi-Scale Adaptive Graph Neural NetworksSemantic proximity Read

Blockchain Technologies in Healthcare System for Real Time Applications Using IoT and Deep Learning TechniquesSemantic proximity Read

Machine Unlearning-Enabled Cyber-Resilient AIoT Framework for Privacy-Preserving and Adaptive Smart Pharmaceutics in Personalized Drug Delivery SystemsSemantic proximity Read

SENSIBLE: Sequestered and Synergistic Blockchain EcosystemSemantic proximity Read

Scalable federated learning for emergency care using low cost microcomputing: Real-world, privacy preserving development and evaluation of a COVID-19 screening test in UK hospitalsSemantic proximity Read

Swarm Learning as a privacy-preserving machine learning approach for disease classificationSemantic proximity Read

<span style="color: windowtext; mso-bidi-font-weight: bold;">Using Blockchain Ledgers to Record the AI Decisions in IoT<span style="color: windowtext;">Semantic proximity Read

Computational Framework for Privacy-Regulated Healthcare Data Sharing: Iterative ZKP-Blockchain-Cloud ArchitectureSemantic proximity Read