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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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