Author

H. Dinh

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#artificial intelligence Preprint Sep 2026

Continual Graph Memory for Adaptive Recommendation under Intent Drift

Experiments across multiple recommendation settings show that CGM-Rec improves over evaluated neural and LLM-based baselines on most metrics, and under sampled-candidate reranking, CGM-Rec improves HR@1 by up to 29.58% over the strongest LLM baseline on Bundle, and outperforms K-RagRec on metadata-rich ML-100K.

Hao Nguyen Ngoc, T. Nguyen, Hanh Thi Nguyen et al. · 0 citations

Preprint Aug 2026

FBID: Adaptive Personalized Federated Learning for Robust Out-of-Distribution Attack Detection in IoT Networks

Federated Bandit Intrusion Detection (FBID), a novel adaptive PFL framework to address this limitation through server-side personalization control, employs a contextual multi-armed bandit at the server to dynamically regulate each client's local training intensity according to its observed behavior and update quality.

A. Bui, C. T. Nguyen, Hoang-Anh Pham et al. · 0 citations