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cs.LG2025
Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services
Lian Lian, Yilin Li, Song Han +3
This study proposes an anomaly detection method based on the Transformer architecture with integrated multiscale feature perception, aiming to address the limitations of temporal m…
cs.LG2025
Behavioral Anomaly Detection in Distributed Systems via Federated Contrastive Learning
Renzi Meng, Heyi Wang, Yumeng Sun +3
This paper addresses the increasingly prominent problem of anomaly detection in distributed systems. It proposes a detection method based on federated contrastive learning. The goa…