2 papers
cs.LG2026
Federated Low-Rank Koopman Learning for Multivariate Time-Series Anomaly Detection in IoT Systems
Tung-Anh Nguyen, Van-Phuc Bui, Anh Tuyen Le +4
Distributed IoT systems generate multivariate time-series streams for monitoring physical assets, servers, and embedded sensing platforms. Detecting abnormal temporal behavior is c…
eess.SP2026
Efficient Temporal Modeling for Mobile Sleep Staging via Lightweight Random Attention
Guisong Liu, Pengfei Wei, Jainsong Zhang +1
Mobile sleep staging serves as a foundational infrastructure for in-home sleep monitoring and closed-loop modulation. But existing sequential models such as RNNs and Transformers a…