Submit your papersSubmit Now
For Enquiries: [email protected]
IIARD LogoIIARD

Federated Learning in Healthcare Data Analytics: A Privacy-Preserving Approach

Olabode Michael Soneye, Sylvester Tafirenyika, Tamuka Mavenge Moyo, Bukky, Okojie Eboseremen, Ayorinde Olayiwola Akindemowo, Eseoghene Daniel Erigha, Ehimah Obuse, Joshua Oluwagbenga Ajayi, Emmanuel C

Abstract

The rapid digitization of healthcare has led to an explosion of patient data, necessitating advanced analytics for improved diagnostics, treatment, and predictive modeling. However, traditional centralized data processing poses significant privacy and security risks, particularly concerning sensitive patient information. Federated Learning (FL) offers a privacy-preserving solution by enabling collaborative machine learning across decentralized data sources without exposing raw data. This paper explores the role of FL in healthcare data analytics, highlighting its ability to enhance predictive modeling, medical image analysis, and patient outcome forecasting while ensuring data security and regulatory compliance. FL leverages distributed computing frameworks, allowing healthcare institutions to train machine learning models locally and share only model updates rather than raw data. This approach ensures compliance with stringent data protection regulations such as HIPAA and GDPR while facilitating large-scale medical research. By integrating FL with differential privacy and secure multiparty computation, healthcare providers can further enhance data security and mitigate risks associated with adversarial attacks and model inversion threats. Applications of FL in healthcare include early disease detection, real-time patient monitoring, personalized treatment recommendations, and cross-institutional research collaborations. In medical imaging, FL improves diagnostic accuracy by training AI models on diverse datasets from multiple healthcare facilities without data centralization. Additionally, FL enhances electronic health record (EHR) analysis, enabling predictive analytics for chronic disease management while preserving patient confidentiality. Despite its advantages, FL presents challenges such as communication overhead, system heterogeneity, and model convergence issues. Ensuring fairness in training across institutions wit

Keywords

Federated LearningHealthcare Data AnalyticsPrivacy-Preserving AIMachine

References

Ajiga, D. I., Hamza, O., Eweje, A., Kokogho, E., & Odio, P. E. (2024). Assessing the role of HR analytics in transforming employee retention and satisfaction strategies. International Journal of Social Science Exceptional Research, 3(1), 87-94. https://doi.org/10.54660/IJSSER.2024.3.1.87- 94​:contentReference[oaicite:0]{index=0}. Ajiga, D. I., Hamza, O., Eweje, A., Kokogho, E., & Odio, P. E. (2024). Exploring how predictive analytics can be leveraged to anticipate and meet emerging consumer demands. International Journal of Social Science Exceptional Research, 3(1), 80-86. https://doi.org/10.54660/IJSSER.2024.3.1.80- 86​:contentReference[oaicite:1]{index=1}. Ajiga, D. I., Hamza, O., Eweje, A., Kokogho, E., & Odio, P. E. (2024). Investigating the use of big data analytics in predicting market trends and consumer behavior. International Journal of Management and Organizational Research, 4(1), 62-69. https://doi.org/10.54660/IJMOR.2024.3.1.62- 69​:contentReference[oaicite:2]{index=2}. Ajiga, D. I., Hamza, O., Eweje, A., Kokogho, E., & Odio, P. E. (2024). Evaluating Agile's impact on IT financial planning and project management efficiency. International Journal of Management and Organizational Research, 3(1), 70-77. https://doi.org/10.54660/IJMOR.2024.3.1.70- 77​:contentReference[oaicite:3]{index=3}. Ajirotutu, R. O., Adeyemi, A. B., Ifechukwu, G. O., Iwuanyanwu, O., Ohakawa, T. C., & Garba, B. M. P. (2024). Designing policy frameworks for the future: Conceptualizing the integration of green infrastructure into urban development. Journal of Urban Development Studies. Ajirotutu, R. O., Adeyemi, A. B., Ifechukwu, G. O., Ohakawa, T. C., Iwuanyanwu, O., & Garba, B. M. P. (2024). Exploring the intersection of Building Information Modeling (BIM) and artificial intelligence in modern infrastructure projects. Journal of Advanced Infrastructure Studies. Akinade, A. O., Adepoju, P. A., Ige, A. B., & Afolabi, A. I. (2025). Cloud Security Challenges and Solutions: A Review of Current Best Practices. Akinade, A. O., Adepoju, P. A., Ige, A. B., Afolabi, A. I., & Amoo, O. O. (2021). A conceptual model for network security automation: Leveraging ai-driven frameworks to enhance multi-vendor infrastructure resilience. Akinade, A. O., Adepoju, P. A., Ige, A. B., Afolabi, A. I., & Amoo, O. O. (2022). Advancing segment routing technology: A new model for scalable and low-latency IP/MPLS backbone optimization. Al Hasan, S. M., Matthew, K. A., & Toriola, A. T. (2024). Education and mammographic breast density. Breast Cancer Research and Treatment, 1-8. Alex-Omiogbemi, A. A., Sule, A. K., Michael, B., & Omowole, S. J. O. (2024): Advances in AI and FinTech Applications for Transforming Risk Management Frameworks in Banking. Alex-Omiogbemi, A. A., Sule, A. K., Omowole, B. M., & Owoade, S. J. (2024): Advances in cybersecurity strategies for financial institutions: A focus on combating E-Channel fraud in the Digital era. Alex-Omiogbemi, A. A., Sule, A. K., Omowole, B. M., & Owoade, S. J. (2024): Conceptual framework for optimizing client relationship management to enhance financial inclusion in developing economies. Alex-Omiogbemi, A. A., Sule, A. K., Omowole, B. M., & Owoade, S. J. (2024). Conceptual framework for advancing regulatory compliance and risk management in emerging markets through digital innovation. Alex-Omiogbemi, A. A., Sule, A. K., Omowole, B. M., & Owoade, S. J. (2024). Conceptual framework for women in compliance: Bridging gender gaps and driving innovation in financial risk management. Al-Maliki, S., Kuppuswamy, P., John, R., & Sivakumar, N. (2022). Covid-19: an efficient big data analytics for sars-cov-2 mutations prediction: a machine learning approach. Indian Journal of Science and Technology, 15(21), 1022-1031. https://doi.org/10.17485/ijst/v15i21.374 Alonge, E. O., Dudu, O. F., & Alao, O. B. (2024). The impact of digital transformation on financial reporting and accountability in emerging markets. International Journal of Science and Technology Research Archive, 7(2), 025-049. Alonge, E. O., Dudu, O. F., & Alao, O. B. (2024). Utilizing advanced data analytics to boost revenue growth and operational efficiency in technology firms. Asuz, O. F. (2024). Integrating behavioral science into operational risk management: A new paradigm for the FMCG sector. World Journal of Advanced Research and Reviews, 21(3), 263-273. Atadoga, A., Asuzu, O. F., Ayinla, B. S., Ndubuisi, N. L., Ike, C. U., & Adeleye, R. A. (2024). Blockchain technology in modern accounting: A comprehensive review and its implementation challenges. Atadoga, A., Ike, C. U., Asuzu, O. F., Ayinla, B. S., Ndubuisi, N. L., & Adeleye, R. A. (2024). The intersection of ai and quantum computing in financial markets: a critical review. Computer Science & IT Research Journal, 5(2), 461-472. Attah, R. U., Garba, B. M. P., Gil-Ozoudeh, I., & Iwuanyanwu, O. (2024). Leveraging geographic information systems and data analytics for enhanced public sector decision- making and urban planning. Attah, R.U., Garba, B.M.P., Gil-Ozoudeh, I. & Iwuanyanwu, O. (2024). Evaluating strategic technology partnerships: Providing conceptual insights into their role in corporate strategy and technological innovation. International Journal of Frontiers in Science and Technology Research, 2024, 07(02), 077–089. https://doi.org/10.53294/ijfstr.2024.7.2.0058 Attah, R.U., Garba, B.M.P., Gil-Ozoudeh, I. & Iwuanyanwu, O. (2024). Strategic frameworks for digital transformation across logistics and energy sectors: Bridging technology with business strategy. Open Access Research Journal of Science and Technology, 2024, 12(02), 070–080. https://doi.org/10.53022/oarjst.2024.12.2.0142 Attah, R.U., Garba, B.M.P., Gil-Ozoudeh, I. & Iwuanyanwu, O. (2024). Enhancing Supply Chain Resilience through Artificial Intelligence: Analyzing Problem-Solving Approaches in Logistics Management. International Journal of Management & Entrepreneurship Research, 2024, 5(12) 3248-3265. https://doi.org/10.51594/ijmer.v6i12.1745 Attah, R.U., Garba, B.M.P., Gil-Ozoudeh, I. & Iwuanyanwu, O. (2024). Cross-functional Team Dynamics in Technology Management: A Comprehensive Review of Efficiency and Innovation Enhancement. Engineering Science & Technology Journal, 2024, 5(12), 3248-3265. https://doi.org/10.51594/estj.v5i12.1756 Attah, R.U., Garba, B.M.P., Gil-Ozoudeh, I. & Iwuanyanwu, O. (2024). Digital transformation in the energy sector: Comprehensive review of sustainability impacts and economic benefits. International Journal of Advanced Economics, 2024, 6(12), 760-776. https://doi.org/10.51594/ijae.v6i12.1751 Attah, R.U., Garba, B.M.P., Gil-Ozoudeh, I. & Iwuanyanwu, O. (2024). Corporate Banking Strategies and Financial Services Innovation: Conceptual Analysis for Driving Corporate Growth and Market Expansion. International Journal Of Engineering Research And Development, 2024, 20(11), 1339-1349. Attah, R.U., Garba, B.M.P., Gil-Ozoudeh, I. & Iwuanyanwu, O. (2024). Best Practices in Project Management for Technology-Driven Initiatives: A Systematic Review of Market Expansion and Product Development Technique. International Journal Of Engineering Research And Development, 2024, 20(11), 1350-1361. Attah, R.U., Garba, B.M.P., Gil-Ozoudeh, I. & Iwuanyanwu, O. (2024). Advanced Financial Modeling and Innovative Financial Products for Urban Development: Strategies for Economic Growth. International Journal Of Engineering Research And Development, 2024, 20(11), 1362-1373. Attah, R.U., Gil-Ozoudeh, I., Garba, B.M.P., & Iwuanyanwu, O. (2024). Leveraging Geographic Information Systems and Data Analytics for Enhanced Public Sector Decision-Making and Urban Planning. Magna Scientia A

More Articles from WORLD JOURNAL OF INNOVATION AND MODERN TECHNOLOGY