2 papers
cs.AI2026
Continual Graph Memory for Adaptive Recommendation under Intent Drift
Hao Nguyen Ngoc, Tung Nguyen, Nguyen Thi Hanh +2
This paper studies adaptive recommendation under intent drift, where feedback from each recommendation outcome can reveal whether the relational evidence used for ranking is useful…
cs.CR2026
FBID: Adaptive Personalized Federated Learning for Robust Out-of-Distribution Attack Detection in IoT Networks
An Khanh Bui, Cong Thanh Nguyen, Hoang-Anh Pham +2
Personalized Federated Learning (PFL) has emerged as a promising solution for intrusion detection in heterogeneous IoT environments, as it can improve local adaptation under highly…