Blockchain Meets Federated Learning in Healthcare: A Systematic Review With Challenges and Opportunities

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Federated Learning for Internet of Things: A Comprehensive Survey

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Federated Learning for Internet of Things: A Comprehensive Survey

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Federated learning meets blockchain in edge computing: Opportunities and challenges

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Healthcare Data Breaches: Insights and Implications

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Federated learning for healthcare: Systematic review and architecture proposal

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Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence

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Decentralized Privacy Using Blockchain-Enabled Federated Learning in Fog Computing

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A framework for privacy-preservation of IoT healthcare data using Federated Learning and blockchain technology

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ShieldFL: Mitigating Model Poisoning Attacks in Privacy-Preserving Federated Learning

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Blockchain-Enabled Federated Learning Data Protection Aggregation Scheme With Differential Privacy and Homomorphic Encryption in IIoT

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HealthBlock: A secure blockchain-based healthcare data management system

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Secure and Provenance Enhanced Internet of Health Things Framework: A Blockchain Managed Federated Learning Approach

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Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT

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Privacy-Preserving Byzantine-Robust Federated Learning via Blockchain Systems

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Policy assessments for the carbon emission flows and sustainability of Bitcoin blockchain operation in China

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Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey

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Blockchain-enabled Federated Learning: A Survey

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A secure healthcare 5.0 system based on blockchain technology entangled with federated learning technique

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A Federated Learning Based Privacy-Preserving Smart Healthcare System

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Blockchain vehicles for efficient Medical Record management

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Security and Privacy-Enhanced Federated Learning for Anomaly Detection in IoT Infrastructures

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Health 4.0: On the Way to Realizing the Healthcare of the Future

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Federated-learning based privacy preservation and fraud-enabled blockchain IoMT system for healthcare

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FLchain: Federated Learning via MEC-enabled Blockchain Network

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Blockchain for federated learning toward secure distributed machine learning systems: a systemic survey

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Designing ECG monitoring healthcare system with federated transfer learning and explainable AI

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A federated ecosystem for sharing genomic, clinical data

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Node Selection Toward Faster Convergence for Federated Learning on Non-IID Data

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Federated Dropout—A Simple Approach for Enabling Federated Learning on Resource Constrained Devices

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Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World

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Toward On-Device Federated Learning: A Direct Acyclic Graph-Based Blockchain Approach

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Short-Term Energy Consumption Forecasting at the Edge: A Federated Learning Approach

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A general form of smart contract for decentralized energy systems management

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Efficient Privacy-Preserving Machine Learning for Blockchain Network

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Drones’ Edge Intelligence Over Smart Environments in B5G: Blockchain and Federated Learning Synergy

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Security, Privacy and Trust for Smart Mobile- Internet of Things (M-IoT): A Survey

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TrustFed: A Framework for Fair and Trustworthy Cross-Device Federated Learning in IIoT

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Blockchain-Empowered Multi-Robot Collaboration to Fight COVID-19 and Future Pandemics

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A Novel Blockchain-Based Integrity and Reliable Veterinary Clinic Information Management System Using Predictive Analytics for Provisioning of Quality Health Services

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A Blockchain‐Based Federated Learning Method for Smart Healthcare

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Toward Trustworthy AI: Blockchain-Based Architecture Design for Accountability and Fairness of Federated Learning Systems

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IoMT: A COVID-19 Healthcare System Driven by Federated Learning and Blockchain

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Agent architecture of an intelligent medical system based on federated learning and blockchain technology

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FBI: A Federated Learning-Based Blockchain-Embedded Data Accumulation Scheme Using Drones for Internet of Things

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Smartphone-based DNA diagnostics for malaria detection using deep learning for local decision support and blockchain technology for security

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A Platform-Free Proof of Federated Learning Consensus Mechanism for Sustainable Blockchains

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Blockchain-based Node-aware Dynamic Weighting Methods for Improving Federated Learning Performance

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A Blockchain-Empowered Federated Learning in Healthcare-Based Cyber Physical Systems

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Blockchain-Based Digital Twins Collaboration for Smart Pandemic Alerting: Decentralized COVID-19 Pandemic Alerting Use Case

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Blockchain for Privacy Preserving and Trustworthy Distributed Machine Learning in Multicentric Medical Imaging (C-DistriM)

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Converging Blockchain and Machine Learning for Healthcare

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A Blockchain-Based Model Migration Approach for Secure and Sustainable Federated Learning in IoT Systems

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A Systematic Literature Review of Blockchain-based Federated Learning: Architectures, Applications and Issues

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Federated Transfer Learning for IIoT Devices With Low Computing Power Based on Blockchain and Edge Computing

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Blockchain-Enabled Federated Learning for UAV Edge Computing Network: Issues and Solutions

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Blockchain-Federated-Learning and Deep Learning Models for COVID-19 Detection Using CT Imaging

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In the Pursuit of Privacy: The Promises and Predicaments of Federated Learning in Healthcare

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FabricFL: Blockchain-in-the-Loop Federated Learning for Trusted Decentralized Systems

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A Systematic Literature Review of Blockchain Technology: Security Properties, Applications and Challenges

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FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity

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Blockchain-Based Federated Learning in Medicine

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Blockchain and Machine Learning in Health Care and Management

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Protecting Personal Healthcare Record Using Blockchain & Federated Learning Technologies

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Blockchain-enabled Federated Learning: A Survey

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Practical Attribute Reconstruction Attack Against Federated Learning

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A Cyber Resilience Framework for NG-IoT Healthcare Using Machine Learning and Blockchain

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A Systematic Literature Review on Blockchain Enabled Federated Learning Framework for Internet of Vehicles

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Secure verifiable aggregation for blockchain-based federated averaging

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A Secure Softwarized Blockchain-based Federated Health Alliance for Next Generation IoT Networks

Das, P., Singh, M., & Roy, D. G. (2021) · 2021 IEEE Globecom Workshops (GC Wkshps) · doi:10.1109/gcwkshps52748.2021.9682088 · Cited by 19 · see citing works

On the Design of Medical Data Ecosystem for Improving Healthcare Research and Commercial Incentive

Shae, Z., & Tsai, J. J. P. (2021) · IEEE International Conference on Cognitive Machine Intelligence (CogMI) · doi:10.1109/cogmi52975.2021.00024 · Cited by 18 · see citing works

Convergence of Blockchain and Artificial Intelligence to Decentralize Healthcare Systems

Lobo, V. B., Analin, J., Laban, R. M., & More, S. S. (2020) · International Conference on Computing Methodologies and Communication (ICCMC) · doi:10.1109/iccmc48092.2020.iccmc-000171 · Cited by 17 · see citing works

Blockchain-Based Federated Learning Against End-Point Adversarial Data Corruption

Sun, Y., Esaki, H., & Ochiai, H. (2020) · International Conference on Machine Learning and Applications · doi:10.1109/icmla51294.2020.00119 · Cited by 16 · see citing works

Defending Blockchain Forking Attack by Delaying MTC Confirmation

Wang, K., Wang, Y., & Ji, Z. (2020) · IEEE Access · doi:10.1109/access.2020.3000571 · Cited by 15 · see citing works

Multi-Modal COVID-19 Discovery With Collaborative Federated Learning

Chen, X., Shao, Y., Xue, Z., & Yu, Z. (2021) · IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS) · doi:10.1109/ccis53392.2021.9754623 · Cited by 13 · see citing works

Peer Consonance in Blockchain based Healthcare Application using AI-based Consensus Mechanism

Kumar, N., Parangjothi, C., Guru, S., et al. (2020) · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · doi:10.1109/icccnt49239.2020.9225550 · Cited by 12 · see citing works

A Security-Oriented Architecture for Federated Learning in Cloud Environments

Marulli, F., Bellini, E., & Marrone, S. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-44038-1_67 · Cited by 11 · see citing works

An IoT-Based Secure Vaccine Distribution System through a Blockchain Network

Rathee, G., Garg, S., Kaddoum, G., & Jayakody, D. N. K. (2021) · IEEE Internet of Things Magazine · doi:10.1109/iotm.0001.2100028 · Cited by 11 · see citing works

A Blockchain-Based Privacy Sensitive Data Acquisition Scheme During Pandemic Through the Facilitation of Federated Learning

Islam, A., & Shin, S. Y. (2022) · International Conference on Information and Communication Technology Convergence (ICTC) · doi:10.1109/ictc55196.2022.9952440 · Cited by 9 · see citing works

A field test of a federated learning/federated analytic blockchain network implementation in an HPC environment

Short, J. E., Miyachi, K., Toouli, C. D., et al. (2022) · Frontiers in Blockchain · doi:10.3389/fbloc.2022.893747 · Cited by 8 · see citing works

Federated Learning Model for Healthchain System

Durga, R., & Poovammal, E. (2021) · IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE) · doi:10.1109/icraie52900.2021.9703948 · Cited by 7 · see citing works

HBMD-FL: Heterogeneous Federated Learning Algorithm Based on Blockchain and Model Distillation

Li, Y., Zhang, J., Zhu, J., & Li, W. (2022) · Communications in computer and information science · doi:10.1007/978-3-031-23098-1_9 · Cited by 6 · see citing works

Federated Learning for COVID-19 Detection With Generative Adversarial Networks in Edge Cloud Computing

Nguyen, D. C., Ding, M., Pathirana, P. N., Seneviratne, A., & Zomaya, A. Y. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3120998 · Cited by 5 · see citing works

Application of Federated Learning in Industrial Internet with Device Identifier

Zhang, X., & Hou, H. (2021) · IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) · doi:10.1109/bmsb53066.2021.9547143 · Cited by 4 · see citing works

Local Model Update for Blockchain Enabled Federated Learning: Approach and Analysis

Li, Z., Zhou, Y., Wu, D., & Wang, R. (2021) · IEEE International Conference on Blockchain (Blockchain) · doi:10.1109/blockchain53845.2021.00025 · Cited by 4 · see citing works

Blockchain for Secure Healthcare: Opportunities, Challenges and Solutions

Alissa, K. A. (2022) · Mathematical Modelling and Engineering Problems · doi:10.18280/mmep.090520 · Cited by 4 · see citing works

Mobile Blockchain-Empowered Federated Learning: Current Situation And Further Prospect

Wibowo, D. S., & Fong, S. J. (2021) · International Conference on Blockchain Computing and Applications (BCCA) · doi:10.1109/bcca53669.2021.9656998 · Cited by 3 · see citing works

Enhance Computing Performance Through Deep Learning and Blockchain Integration for Public Health Problems

Purnomo, M. H., Fahruzi, I., & Anggraeni, W. (2020) · doi:10.1109/ibiomed50285.2020.9487632 · Cited by 2 · see citing works

BPFISH: Blockchain and Privacy-preserving FL Inspired Smart HealthcarePreprint

Singh, M. B., & Pratap, A. (2022) · arXiv (Cornell University) · doi:10.48550/arxiv.2207.11654 · Cited by 2 · see citing works

Federated Learning in Smart Healthcare: A Comprehensive Review on Privacy, Security, and Predictive Analytics with IoT Integration

Abbas, S. R., Abbas, Z., Zahir, A., & Lee, S. W. (2024) · Healthcare · doi:10.3390/healthcare12242587 · Cited by 228 · see citing works

Federated learning for the healthcare metaverse: Concepts, applications, challenges, and future directions

Bashir, A. K., Victor, N., Bhattacharya, S., Huynh-The, T., Chengoden, R., Yenduri, G., Maddikunta, P. K. R., Pham, Q.-V., Gadekallu, T. R., & Liyanage, M. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3304790 · Cited by 183 · see citing works

Federated learning meets blockchain in decentralized data-sharing: Healthcare use case

Alsamhi, S. H., Myrzashova, R., Hawbani, A., Kumar, S., Srivastava, S., Zhao, L., Wei, X., Guizan, M., & Curry, E. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2024.3367249 · Cited by 131 · see citing works

Survey: federated learning data security and privacy-preserving in edge-Internet of Things

Li, H., Ge, L., & Tian, L. (2024) · Artificial Intelligence Review · doi:10.1007/s10462-024-10774-7 · Cited by 112 · see citing works

BLOCKCHAIN AS THE NEWEST FINANCIAL INSTITUTION: PROCESSES, STRATEGIES, TECHNOLOGIES AND PRACTICE OF APPLICATION IN THE CONDITIONS OF DIGITALIZATION OF ECONOMY

Kraus, K., Kraus, N. M., & Manzhura, О. (2022) · Efektyvna ekonomika · doi:10.32702/2307-2105-2022.1.74 · Cited by 8 · see citing works

Καινοτόμος μέθοδος αποθήκευσης και μετάδοσης δεδομένων, τεχνολογία Blockchain, κοινωνιο-ψυχολογικές επιπτώσεις, προσεγγίσεις και εφαρμογές στην εκπαίδευση και τη μάθηση

Γρηγοριάδου, Β. (2022) · doi:10.12681/eadd/52359 · Cited by 1 · see citing works

The main network characteristics of blockchain traffic and modeling approaches

SPbGUT, Elagin, V., Spirkina, A. V., et al. (2020) · T-Comm - Телекоммуникации и Транспорт · doi:10.36724/2072-8735-2020-14-4-39-45 · Cited by 10 · see citing works

A new concept of Blockchain: intentionally designed to disrupt

Sfoglietta, R. (2019)

ІННОВАЦІЙНІ ТЕХНОЛОГІЇ В БУХГАЛТЕРСЬКОМУ ОБЛІКОВІ ТА АУДИТІ: ДО ПИТАННЯ ВИКОРИСТАННЯ ТЕХНОЛОГІЇ БЛОКЧЕЙН

Колісник, О., Гуріна, Н., Дружинська, Н. С., et al. (2023) · Financial and credit activity problems of theory and practice · doi:10.55643/fcaptp.3.50.2023.4082 · Cited by 14 · see citing works