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Subject of Research: Technology and Engineering
Subject of Research: Technology and Engineering
Article Title: Long-horizon local optimization and regularized knowledge improve personalized federated recommendation
Article References: Lim, J., Kweon, W., Kim, W., Kim, J., Kim, D., & Yu, H. (2026). Personalized federated recommendation via long-horizon local optimization and regularized knowledge guidance. Journal of Intelligent Information Systems. https://doi.org/10.1007/s10844-026-01089-w
Image Credits: AI Generated
DOI: 10.1007/s10844-026-01089-w
Keywords: collaborative filtering, distributed machine learning, federated learning algorithms, federated recommendation systems, knowledge regularization techniques, long-horizon local optimization, personalized machine learning, privacy-preserving data analysis, recommendation accuracy enhancement, regularized knowledge transfer, scalable federated AI, user-specific recommendation models
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Denise Maddox. (August 30, 2026). Long-horizon local optimization and regularized knowledge improve personalized federated recommendation. Scienmag. https://scienmag.com/long-horizon-local-optimization-and-regularized-knowledge-improve-personalized-federated-recommendation/
Denise Maddox. “Long-horizon local optimization and regularized knowledge improve personalized federated recommendation.” Scienmag, 30 August 2026, https://scienmag.com/long-horizon-local-optimization-and-regularized-knowledge-improve-personalized-federated-recommendation/. Accessed 30 August 2026.
Denise Maddox. “Long-horizon local optimization and regularized knowledge improve personalized federated recommendation.” Scienmag. August 30, 2026. https://scienmag.com/long-horizon-local-optimization-and-regularized-knowledge-improve-personalized-federated-recommendation/
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Tags: collaborative filteringcollaborative filtering in federated learningdistributed machine learningdistributed machine learning algorithmsfederated learning algorithmsfederated recommendation systemsknowledge regularization techniqueslong-horizon local optimizationlong-horizon local optimization in federated learningpersonalized machine learningprivacy-preserving data analysisrecommendation accuracy enhancementregularized knowledge transferscalable federated AIuser-specific recommendation models
