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Journal articles on the topic 'Federated Interoperability'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Jian-ya, Gong, and Wang Yan-dong. "Federated spatial databases and interoperability." Wuhan University Journal of Natural Sciences 6, no. 1-2 (2001): 164–68. http://dx.doi.org/10.1007/bf03160238.

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Amare, Samson Yohannes, Getu Tadele Taye, Tesfit Gebremeskel Gebreslassie, Ruduan Plug, and Mirjam van Reisen. "Realizing health data interoperability in low connectivity settings: The case of VODAN-Africa." FAIR Connect 1, no. 1 (2023): 55–61. http://dx.doi.org/10.3233/fc-221510.

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VODAN Africa has produced FAIR data in low resource settings. Federated machine actionable data is available in a triple store for visiting. Interoperability facets (I1–I3) were followed to achieve semantic interoperability. Vertical interoperability was also realized with DHIS2.

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L'Amrani, Hasnae, Younès El Bouzekri El Idrissi, and Rachida Ajhoun. "Technical Interoperability to Solve Cross-Domain Issues Among Federation Systems." International Journal of Smart Security Technologies 7, no. 1 (2020): 21–40. http://dx.doi.org/10.4018/ijsst.2020010102.

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Digital identity management with the metamorphosis of web services enforces new security challenges. A set of identity management systems exists to deal with these identities, alongside the goal of improving user experience and gain secure access. Nowadays, one faces a large number of heterogeneous identity management approaches. This study treated several identity management systems. The federated system makes proof of it eligibility for the identity management. Thus, the researcher interest is on the federated model. Since it consists of the distribution of digital identity between different

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Bamidele, Samuel Adelusi, Osamika Damilola, Chinyeaka Kelvin-Agwu MariaTheresa, Yetunde Mustapha Ashiata, Yeboah Forkuo Adelaide, and Ikhalea Nura. "A Federated Interoperability Framework for Seamless Health Data Exchange Using FHIR Standards Across Multi-Hospital Systems." Engineering and Technology Journal 10, no. 05 (2025): 4672–95. https://doi.org/10.5281/zenodo.15341965.

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In the modern healthcare landscape, seamless and secure exchange of patient health data across disparate hospital systems remains a critical challenge. Existing infrastructures are often siloed, leading to data fragmentation, increased administrative burden, and compromised patient outcomes. This study proposes a Federated Interoperability Framework leveraging Fast Healthcare Interoperability Resources (FHIR) standards to enable seamless, standardized, and secure health data exchange across multi-hospital systems. The framework integrates federated learning principles with robust data governan

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Tu, Zhiying, Gregory Zacharewicz, and David Chen. "A federated approach to develop enterprise interoperability." Journal of Intelligent Manufacturing 27, no. 1 (2014): 11–31. http://dx.doi.org/10.1007/s10845-013-0868-1.

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Alshudukhi, Khulud Salem, Maher Ali Khemakhem, Fathy Elbouraey Eassa, and Kamal Mansur Jambi. "An Interoperable Blockchain Security Frameworks Based on Microservices and Smart Contract in IoT Environment." Electronics 12, no. 3 (2023): 776. http://dx.doi.org/10.3390/electronics12030776.

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In the Internet of Things (IoT), technological developments have increased the significance of federated cloud systems with integrated cloud providers for exchange transactions. Monolithic IoT systems implement service-oriented architecture (SOA), which is complex for supporting scalability and communicating transactions in a federated cloud system. One weakness of conventional security methods is that they depend on a centralized party, which means there is a single point of failure for the system. In contrast, blockchain (BC) and microservice (MS) technologies allow services to split for ind

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Zacharewicz, G., D. Chen, and B. Vallespir. "Enterprise Interoperability Short-Lived Ontology for HLA Compliant Federated Enterprise Interoperability Approach." IFAC Proceedings Volumes 42, no. 4 (2009): 638–43. http://dx.doi.org/10.3182/20090603-3-ru-2001.0279.

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L’Amrani, Hasnae, Younès EL Bouzekri EL Idrissi, and Rachida Ajhoun. "Identity Management Systems: Techno-Semantic Interoperability for Heterogeneous Federated Systems." Computer and Information Science 11, no. 3 (2018): 102. http://dx.doi.org/10.5539/cis.v11n3p102.

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The identity management domain is a huge research domain. The federated systems proved on theirs legibility to solve a several digital identity issues. However, the problem of interoperability between federations is the researcher first issue. The researchers final goal is creating a federation of federations which is a large meta-system composed of several different federation systems. The previous researchers’ technical interoperability approach solved a part of the above-mentioned issue. However, there are some-others problems in the communication process between federated systems. In this

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9

Ciampi, Mario, Giuseppe De Pietro, Christian Esposito, Mario Sicuranza, and Paolo Donzelli. "A federated interoperability architecture for health information systems." International Journal of Internet Protocol Technology 7, no. 4 (2013): 189. http://dx.doi.org/10.1504/ijipt.2013.058646.

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10

Zhang, Yong, Shijun Liu, Wu Lei, and Yuchang Jiao. "Service-oriented enterprise interoperability in automobile supply chain management." Computer Science and Information Systems 7, no. 1 (2010): 31–49. http://dx.doi.org/10.2298/csis1001031z.

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How to enhance interoperability between stakeholders and improve efficiency of supply chain management is the key issue that needs to be addressed in automobile industry. Existing interoperability solutions are suitable only for large enterprises, however, small and medium-sized enterprises (SMEs) lack cheap, easy to integrate and easy to customize solutions. This paper proposes a methodology that provides a guide on how to establish interoperability between enterprises through a federated approach. An interoperability service platform is designed and delivered in the form of Software as a Ser

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11

Akhmetov, Adil, Zohaib Latif, Benjamin Tyler, and Adnan Yazici. "Enhancing healthcare data privacy and interoperability with federated learning." PeerJ Computer Science 11 (May 8, 2025): e2870. https://doi.org/10.7717/peerj-cs.2870.

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This article explores the application of federated learning (FL) with the Fast Healthcare Interoperability Resources (FHIR) protocol to address the underutilization of the huge volumes of healthcare data generated by the digital health revolution, especially those from wearable sensors, due to privacy concerns and interoperability challenges. Despite advances in electronic medical records, mobile health applications, and wearable sensors, current digital health cannot fully exploit these data due to the lack of data analysis and exchange between heterogeneous systems. To address this gap, we p

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Bhuskute, Sapana Sanjay, and Sujata Kadu. "A Study on Federated Cloud Computing Environment." International Journal of Recent Technology and Engineering (IJRTE) 10, no. 2 (2021): 187–93. http://dx.doi.org/10.35940/ijrte.b6311.0710221.

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Federated cloud computing is the advancement in the area of the general cloud computing paradigm. In a federated cloud environment, multiple cloud service providers share their computing assets, servers, and various facilities to fulfill customer demands. Federated cloud computing terminology consists of the aggregation of services considered by interoperability characteristics and creates the integration of several cloud service providers regardless of any geographical location. It improves the performance, utilization of facilities, minimizes response time and pricing model by partial subcon

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Sapana, Sanjay Bhuskute, and Kadu Sujata. "A Study on Federated Cloud Computing Environment." International Journal of Recent Technology and Engineering (IJRTE) 10, no. 2 (2021): 187–93. https://doi.org/10.35940/ijrte.B6311.0710221.

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Federated cloud computing is the advancement in the area of the general cloud computing paradigm. In a federated cloud environment, multiple cloud service providers share their computing assets, servers, and various facilities to fulfill customer demands. Federated cloud computing terminology consists of the aggregation of services considered by interoperability characteristics and creates the integration of several cloud service providers regardless of any geographical location. It improves the performance, utilization of facilities, minimizes response time and pricing model by partial subcon

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14

Kutvonen, Lea, Toni Ruokolainen, and Janne Metso. "Interoperability Middleware for Federated Business Services in Web-Pilarcos." International Journal of Enterprise Information Systems 3, no. 1 (2007): 1–21. http://dx.doi.org/10.4018/jeis.2007010101.

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15

Youssef, Joseph Rahme, Gregory Zacharewicz, David Chen, and Zhiying Tu. "Enterprise operating system framework: federated interoperability based on HLA." International Journal of Simulation and Process Modelling 13, no. 4 (2018): 337. http://dx.doi.org/10.1504/ijspm.2018.093760.

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16

Chen, David, Gregory Zacharewicz, Joseph Rahme Youssef, and Zhiying Tu. "Enterprise operating system framework: federated interoperability based on HLA." International Journal of Simulation and Process Modelling 13, no. 4 (2018): 337. http://dx.doi.org/10.1504/ijspm.2018.10014989.

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17

Dheerendra, Yaganti. "Designing Privacy-First Health Monitoring Architectures Using Federated AI and FHIR-Compliant Azure Health Data Services In .NET." Journal of Scientific and Engineering Research 11, no. 8 (2024): 215–20. https://doi.org/10.5281/zenodo.15241066.

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The rapid advancement of digital health technologies necessitates architectures that ensure data privacy, regulatory compliance, and intelligent analytics. This paper presents a privacy-first health monitoring system that integrates Federated Artificial Intelligence (AI), Fast Healthcare Interoperability Resources (FHIR), and Azure Health Data Services within a .NET framework. The proposed architecture enables real-time health data collection and decentralized machine learning while preserving patient privacy and meeting HIPAA and FHIR compliance standards. By leveraging federated learning, th

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18

Mecca, Giansalvatore, Michele Santomauro, Donatello Santoro, and Enzo Veltri. "On federated single sign-on in e-government interoperability frameworks." International Journal of Electronic Governance 8, no. 1 (2016): 6. http://dx.doi.org/10.1504/ijeg.2016.076684.

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19

Abdulkader, Omar Ahmed, and Muhammad Jawad Ikram. "Federated public key infrastructure management for secure internet of things interoperability." International Journal of Electrical and Computer Engineering (IJECE) 15, no. 1 (2025): 792. http://dx.doi.org/10.11591/ijece.v15i1.pp792-802.

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Proliferating the internet of things (IoT) across all industry fields offers numerous possibilities for invention. It also multiplied the issues of ensuring uniform interoperability among a wide range of devices and platforms. The focus of this paper is to propose an approach for enhancing the security of IoT networks. This study investigated the possible efficacy of employing a federal public key infrastructure (PKI) structure system to serve IoT-based ecosystems. To achieve this goal, we have developed an elaborate experimental framework incorporating different trust models, security protoco

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20

Mazimwe, Allan, Imed Hammouda, and Anthony Gidudu. "An Empirical Evaluation of Disaster Data Interoperability—A Case of Uganda." ISPRS International Journal of Geo-Information 8, no. 11 (2019): 484. http://dx.doi.org/10.3390/ijgi8110484.

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One of the grand challenges of disaster management is for stakeholders to be able to discover, access, integrate and analyze task-appropriate disaster data together with their associated algorithms and work-flows. Even with a growing number of initiatives to publish disaster data using open principles, integration and reuse are still difficult due to existing interoperability barriers within datasets. Several frameworks for assessing data interoperability exist but do not generate best practice solutions to existing barriers based on the assessment they use. In this study, we assess disaster d

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21

Abdulkader, Omar Ahmed, and Muhammad Jawad Ikram. "Federated public key infrastructure management for secure internet of things interoperability." International Journal of Electrical and Computer Engineering (IJECE) 15, no. 1 (2025): 792–802. https://doi.org/10.11591/ijece.v15i1.pp792-802.

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Proliferating the internet of things (IoT) across all industry fields offers numerous possibilities for invention. It also multiplied the issues of ensuring uniform interoperability among a wide range of devices and platforms. The focus of this paper is to propose an approach for enhancing the security of IoT networks. This study investigated the possible efficacy of employing a federal public key infrastructure (PKI) structure system to serve IoT-based ecosystems. To achieve this goal, we have developed an elaborateexperimental framework incorporating different t

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22

Deshmukh, Rohit A., Dileepa Jayakody, Alexander Schneider, and Violeta Damjanovic-Behrendt. "Data Spine: A Federated Interoperability Enabler for Heterogeneous IoT Platform Ecosystems." Sensors 21, no. 12 (2021): 4010. http://dx.doi.org/10.3390/s21124010.

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Today, the Internet of Things (IoT) is pervasive and characterized by the rapid growth of IoT platforms across different application domains, enabling a variety of business models and revenue streams. This opens new opportunities for companies to extend their collaborative networks and develop innovative cross-platform and cross-domain applications. However, the heterogeneity of today’s platforms is a major roadblock for mass creation of IoT platform ecosystems, pointing at the current absence of technology enablers for an easy and innovative composition of tools/services from the existing pla

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23

Moonpen, Unnadathorn, Surachai Huapai, and Thepparit Banditwattanawong. "Ontology-based broker system for interoperability of federated cloud computing platforms." International Journal of Computer Applications in Technology 67, no. 1 (2021): 69. http://dx.doi.org/10.1504/ijcat.2021.10044868.

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Huapai, Surachai, Unnadathorn Moonpen, and Thepparit Banditwattanawong. "Ontology-based broker system for interoperability of federated cloud computing platforms." International Journal of Computer Applications in Technology 67, no. 1 (2021): 69. http://dx.doi.org/10.1504/ijcat.2021.120736.

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25

Catuogno, Luigi, and Clemente Galdi. "Achieving interoperability between federated identity management systems: A case of study." Journal of High Speed Networks 20, no. 4 (2014): 209–21. http://dx.doi.org/10.3233/jhs-140499.

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26

Chang, Chai Fung, Pong Heng Tan, and Soh Khum Tam. "2.1.3 Managing Systems of Systems Interoperability - Federated SOA and Reference Architectures." INCOSE International Symposium 19, no. 1 (2009): 199–212. http://dx.doi.org/10.1002/j.2334-5837.2009.tb00945.x.

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27

Sampaio, Alcinia Zita, and Augusto Martins Gomes. "BIM Interoperability Analyses in Structure Design." CivilEng 2, no. 1 (2021): 174–92. http://dx.doi.org/10.3390/civileng2010010.

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The building information modelling (BIM) methodology supports collaborative works, based on the centralization of all information in a federated BIM model and on an efficient level of interoperability between BIM-based platforms. Concerning the structure design, the interoperability capacity of the most used software presents limitations that must be identified and alternative solutions must be proposed. This study analyzes the process of transfer of structure models between modeling and structure analysis tools. Distinct building cases were performed in order to recognize the type of limitati

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Fathalla, Efat, and Mohamed Azab. "Decentralized Trace-Resistant Self-Sovereign Service Provisioning for Next-Generation Federated Wireless Networks." Information 16, no. 3 (2025): 159. https://doi.org/10.3390/info16030159.

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With the advent of NextG wireless networks, the reliance on centralized identity and service management systems poses significant challenges, including limited interoperability, increased privacy vulnerabilities, and the risk of unauthorized tracking or monitoring of user activity. To address these issues, there is a critical need for a decentralized framework that empowers users with self-sovereignty over their subscription information while maintaining trust and privacy among network entities. This article presents a novel framework to enable Self-Sovereign Federated NextG (SSFXG) wireless c

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Jarosz, Michał, Konrad Wrona, and Zbigniew Zieliński. "Distributed Ledger-Based Authentication and Authorization of IoT Devices in Federated Environments." Electronics 13, no. 19 (2024): 3932. http://dx.doi.org/10.3390/electronics13193932.

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One of the main security challenges when federating separate Internet of Things (IoT) administrative domains is effective Identity and Access Management, which is required to establish trust and secure communication between federated IoT devices. The primary goal of the work is to develop a “lightweight” protocol to enable authentication and authorization of IoT devices in federated environments and ensure the secure communication of IoT devices. We propose a novel Lightweight Authentication and Authorization Framework for Federated IoT (LAAFFI) which takes advantage of the unique fingerprint

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30

ILIE, Doina. "Achieving Interoperability in a Federated Environment and in the Current Security Context." Romanian Military Thinking 2022, no. 4 (2022): 222–35. http://dx.doi.org/10.55535/rmt.2022.4.12.

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"Joint missions, exercises and deployments have shown that it is crucial to continuously coordinate processes, training, documents and technologies on a multinational basis. Interoperability on the battlefield, be it on land, in the air, in space, at sea and in the cyber and information space, can often be achieved only after many years of technical and procedural preparation. Time that is no longer available when establishing concrete mission networks, as the war in Ukraine is currently showing us. With Federated Mission Networking (FMN), a framework was created and established that allows a

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31

Aktas, Mehmet S., Geoffrey C. Fox, and Marlon Pierce. "A Federated Approach to Information Management in Grids." International Journal of Web Services Research 7, no. 1 (2010): 65–98. http://dx.doi.org/10.4018/jwsr.2010010104.

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We propose a novel approach to managing information in grids. The proposed approach is an add-on information system that provides unification and federation of grid information services. The system interacts with local information services and assembles their metadata instances under one hybrid architecture to provide a common query/publish interface to different kinds of metadata. The system also supports interoperability of major grid information services by providing federated information management. We present the semantics and architectural design for this system. We introduce a prototype

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32

Shemshi, Vjollca, and Boro Jakimovski. "Extended Model for Efficient Federated Identity Management with Dynamic Levels of Assurance Across eIDAS, REFEDS, and Kantara Frameworks for Educational Institutions." Information 16, no. 5 (2025): 385. https://doi.org/10.3390/info16050385.

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The electronic identity (eID) concept plays a crucial role in building trust and security in electronic transactions and communications. In federated systems, where multiple organizations and users share and use common resources, effective identity management is critical. In this context, the use of an identity provider proxy (IdP proxy) has the potential to facilitate and enhance the interoperability and security of electronic identities. This research examines the role, benefits, and challenges of using an IdP proxy in federated systems. Additionally, this study focuses on the use of IdP pro

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Priti Shukla. "Enhancing Privacy and Security in Decentralized Healthcare with Federated Learning and Blockchain." Journal of Information Systems Engineering and Management 10, no. 11s (2025): 651–77. https://doi.org/10.52783/jisem.v10i11s.1666.

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The adoption of Industry 4.0 technology in healthcare has led to increased concerns about data privacy, security, and interoperability. Traditional centralized healthcare systems are vulnerable to cybercriminal and unauthorized access; thus there is a need for secure and privacypreserving data sharing architecture. This work proposes an integration of Federated Learning (FL) with Blockchain to deliver improvements in the security, scalability, and privacy of decentralized healthcare. Florida allows hospitals to train their models locally and share them without divulging raw patient data, where

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34

Herzog, Erik, Robert Nilsson, Judith Crockford, et al. "Enabling Digital Engineering with Federated PLM – Experiences from the Heliple‐2 Project." INCOSE International Symposium 34, no. 1 (2024): 1367–83. http://dx.doi.org/10.1002/iis2.13213.

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AbstractImplementing a digital engineering infrastructure is a strategic endeavour for any organisation. In this paper an investigation in the feasibility of federated Product Lifecycle Management is presented, starting from a presentation of the guiding architecture pattern and an evaluation of implementation alternatives. Interoperability standards from Open Services for Lifecycle Collaboration (OSLC) are introduced along with presentation of tool infrastructure for automatic generation of OSLC interfaces. Implementation experience validates that this is a viable and attractive alternative f

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35

Ramesh, Betha. "Healthcare Data Interoperability: Building Secure Data Meshes for Improved Patient Outcomes." Journal of Advances in Developmental Research 14, no. 1 (2023): 1–15. https://doi.org/10.5281/zenodo.15050010.

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Healthcare systems worldwide generate massive amounts of data daily, yet this wealth of information remains largely siloed within disparate systems. This white paper explores the transformative potential of data mesh architectures in healthcare, presenting a novel framework for secure healthcare data interoperability. By examining the current challenges of healthcare data silos and their impact on patient outcomes, we propose a domain-oriented, decentralized approach to data ownership with federated governance. This paper outlines how implementing data mesh principles can enhance clinical deci

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Jagan Mohana Rao Bonthu. "Innovations in Healthcare Big Data Engineering: From Clinical Decision Support to Federated Learning." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 626–32. https://doi.org/10.32628/cseit25111270.

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This comprehensive article review explores the transformative impact of big data engineering and analytics in healthcare, from clinical decision support systems to federated learning implementations. The article examines how artificial intelligence and machine learning technologies revolutionize healthcare delivery through enhanced diagnostic capabilities, real-time monitoring solutions, and precision medicine approaches. It shows the integration of advanced analytics in drug discovery and development processes, highlighting how these technologies accelerate research and improve treatment outc

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Galinski, Christian. "Standards-Based Content Resources: A Prerequisite for Content Inte-gration and Content Interoperability." Íkala, Revista de Lenguaje y Cultura 15, no. 2 (2010): 143–57. http://dx.doi.org/10.17533/udea.ikala.6923.

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The purpose of this article is to show how standards-based approaches for content standardization, content management, content related services and tools as well as the respective certification systems not only guarantee reliable content integration and content interoperability, but also are of particular benefit to people with special needs in eAccessibility/eInclusion. The method was to document MoU/MG/05 N0221 "Semantic Interoperability and the need for a coherent policy for a framework of distributed, possibly federated repositories for all kinds of content items on a world-wide scale", w

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A., Muthulakshmi, and Latha R. "THE SOAP BASED MECHANISM FOR HOME ENVIRONMENT USING WEB SERVICES." Electrical & Computer Engineering: An International Journal (ECIJ) 3, no. 2 (2014): 53–60. https://doi.org/10.5281/zenodo.3430444.

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Recent advancements in smart home systems have increased the utilization of consumer devices and appliances in home environment. However, many of these devices and appliances exhibit certain degree of heterogeneity and do not adapt towards joint execution of operation. Hence, it is rather difficult to perform interoperation especially to realize desired services preferred by home users. In this paper, we propose a new intelligent interoperability framework for smart home systems execution as well as coordinating them in a federated manner. The framework core is based on Simple Object Access Pr

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Hooshmand, Y., J. Resch, P. Wischnewski, and P. Patil. "From a Monolithic PLM Landscape to a Federated Domain and Data Mesh." Proceedings of the Design Society 2 (May 2022): 713–22. http://dx.doi.org/10.1017/pds.2022.73.

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AbstractProduct Lifecycle Management (PLM) is one of the most business-critical IT backbones of manufacturing companies. It often consists of numerous, rigidly interwoven monolithic applications and is seen as synonymous with costly maintenance, lack of extensibility, and poor scalability. This paper proposes an approach for transforming a monolithic PLM landscape into a federated Domain and Data Mesh. This enhances semantic interoperability and enables data-driven use cases by treating data as first-class citizens. User-centric PLM domains moreover help to increase productivity in the workpla

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40

Ling, Fang Ting, Ng Hui Wen, Tsi Shi Ping, Vivian Bong Chiaw Cin, Yew Wei Yi, and Muhammad Faisal. "Enhancing Aspects of IIoT Networks with Federated Learning Blockchain Integrated Authentication Solution." International Journal of Electrical Engineering, Mathematics and Computer Science 1, no. 3 (2024): 25–42. http://dx.doi.org/10.62951/ijeemcs.v1i3.17.

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The Industrial Internet of Things (IIoT) faces various challenges in ensuring secure communication, authentication, and data integrity due to its distributed nature and evolving threat landscape. To address these issues, this paper proposes the integration of blockchain authentication as a robust solution to enhance security and reliability in IIoT networks. By leveraging Federated Learning with blockchain technology, the proposed solution aims to improve authentication mechanisms by training models across multiple edge devices, increasing fault tolerance, and adaptability while reducing the r

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41

Gupta, Rajat Kumar. "Federated Identity Management in Multi-Cloud Microservices: Protocols, Patterns, and Security Practices." European Journal of Computer Science and Information Technology 13, no. 14 (2025): 157–71. https://doi.org/10.37745/ejcsit.2013/vol13n14157171.

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This article examines the complexities and challenges of implementing federated identity management across multi-cloud microservices architectures. It provides a comprehensive analysis of foundational protocols, including SAML, OAuth 2.0, and OpenID Connect, exploring their roles in enabling seamless authentication and authorization across heterogeneous cloud environments. The article addresses critical aspects of cross-cloud authentication patterns, token translation mechanisms, and interoperability considerations that organizations face when operating in AWS, Azure, GCP, and other cloud ecos

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42

Schlegel, Kai, Florian Stegmaier, Sebastian Bayerl, Harald Kosch, and Mario Döller. "Exploring Different Optimization Techniques for an External Multimedia Meta-Search Engine." International Journal of Multimedia Data Engineering and Management 3, no. 4 (2012): 31–51. http://dx.doi.org/10.4018/jmdem.2012100102.

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Along with the tremendous growth of Social Media, the variety of multimedia sharing platforms on the Web is ever growing, whereas unified retrieval issues remain unsolved. Beside unified retrieval languages and metadata interoperability issues, a crucial task in such a retrieval environment is query optimization in federated and distributed retrieval scenarios. This work introduces three different dimensions of query optimization that have been integrated in an external multimedia meta-search engine. The main innovations are query execution planning, various query processing strategies as well

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Chatterjee, Pushpalika. "Federated Multi-Agent Reinforcement Learning for Real-Time Risk Scoring in Cross-Border Payment Networks." Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 6, no. 1 (2024): 800–817. https://doi.org/10.60087/jaigs.v6i1.381.

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As financial ecosystems become increasingly digitized and globalized, cross-border payments present escalating challenges in real-time risk assessment, fraud detection, and regulatory compliance. Traditional centralized models for risk scoring often fall short in scalability, privacy preservation, and adaptability. This research proposes an innovative architecture that fuses Federated Learning (FL) with Multi-Agent Reinforcement Learning (MARL) to enable decentralized, privacy-preserving, and adaptive real-time risk scoring across international payment gateways. Each participating financial en

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El Jabari, Carol, Mario Macedo, and Mohanad O. Al-jabari. "Towards a New Paradigm of Federated Electronic Health Records in Palestine." Informatics 7, no. 4 (2020): 41. http://dx.doi.org/10.3390/informatics7040041.

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While efforts are underway to create a sound system of electronic health records in Palestinian health institutions, there remain obstacles and challenges. Given modern day demands on health systems, we propose a federated electronic health system based on the clinical document architecture (CDA) that is compliant within the Palestine context. This architecture also brings a normalized electronic health record and a structure of blockchain to enhance interoperability with scalability, fault tolerance, privacy, and security. The new architecture and technologies will enhance services by allowin

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Alsadeh, Ahmad, Nasri Yatim, and Yousef Hassouneh. "A Dynamic Federated Identity Management Using OpenID Connect." Future Internet 14, no. 11 (2022): 339. http://dx.doi.org/10.3390/fi14110339.

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Identity federation allows one to link a user’s digital identities across several identity management systems. Federated identity management (FIM) ensures that users have easy access to the available resources. However, scaling FIM to numerous partners is a challenging process due to the interoperability issue between different federation architectures. This study proposes a dynamic identity federation model to eliminate the manual configuration steps needed to establish an organizational identity federation by utilizing the OpenID Connect (OIDC) framework. The proposed model consists of three

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Surya Kiran, Arjun Kumar, and Swathi Chukkala. "Decentralized AI at the Edge: Federated Learning, Quantum Optimization and IoT Scalability." International Journal of Science and Research Archive 14, no. 3 (2025): 256–63. https://doi.org/10.30574/ijsra.2025.14.3.0633.

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Decentralized artificial intelligence (AI) at the edge marks a revolutionary evolution in computing, enabling efficient, privacy-preserving, and scalable solutions tailored for the Internet of Things (IoT). This paper integrates cutting-edge advancements in federated learning (FL), quantum optimization, and scalable IoT architectures to propose a cohesive framework for next-generation edge AI systems. We conducted an extensive literature review covering privacy-focused decentralized AI, quantum-enhanced optimization methods, and IoT system scalability. Our research highlights significant enhan

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Leila Mohamed Abdelgayoum Abdelgader. "FedDeepRiskNet: A Federated Learning Framework for Secure and Efficient Multi-Hospital Management." Journal of Information Systems Engineering and Management 10, no. 20s (2025): 277–87. https://doi.org/10.52783/jisem.v10i20s.3053.

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Existing multi-hospital management frameworks, especially those that combine vital sign IoT data with elasticity approaches, often have data storage, poor predictive skills, and poor human-centered design. This study tackles these issues and provide safe and private data exchange, by proposing a novel framework that works with a federated learning technique. Federated learning is a decentralized machine learning (ML) method that enables several hospitals to work together on model training without compromising the privacy of their patient data. The proposed approach directly addresses the issue

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Vikas K Kolekar. "Adaptive Middleware to Analyze and Confirm Data Centric Parameters for Data Aggregation in Federated Cloud Environment." Panamerican Mathematical Journal 34, no. 3 (2024): 01–14. http://dx.doi.org/10.52783/pmj.v34.i3.1709.

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In the last decade rapid data evolution has contributed to tremendous data movement. The efficient data movement from origin to cloud storage and vice versa leads to the significant performance of application. A software layer situated between user and cloud storage called middleware plays major role in handling data to full fill user goals and requirements. In this paper, proposed a development of middleware frameworks from generic to context aware framework. Explicit importance is given to the adaptation feature of the middleware. A preliminary background is presented to list out importance

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VADUVA, ANCA, and THOMAS VETTERLI. "METADATA MANAGEMENT FOR DATA WAREHOUSING: AN OVERVIEW." International Journal of Cooperative Information Systems 10, no. 03 (2001): 273–98. http://dx.doi.org/10.1142/s0218843001000357.

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Metadata has been identified as a key success factor in data warehouse projects. It captures all kinds of information necessary to design, build, use and interpret the data warehouse contents. This paper gives an overview about the role metadata plays for data warehousing and reviews existing standards, commercial solutions and research actions relevant to metadata management. It turns out that an overall solution for managing all metadata in a central or federated repository is still missing regarding a global metadata schema as well as system aspects and interoperability among involved tools

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Priesnitz Filho, Walter, Carlos Ribeiro, and Thomas Zefferer. "Employing Ontology-Alignment and Locality-Sensitive Hashing to Improve Attribute Interoperability in Federated eID Systems." Complex Systems Informatics and Modeling Quarterly, no. 8 (October 31, 2016): 81–96. http://dx.doi.org/10.7250/csimq.2016-8.07.

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