Alibaba Cloud Big Data AI Platform
Jul 25, 2025 · Big Data
Cross-Contrastive Learning Cuts Flink Anomaly Detection Errors by 12%
The paper “Noise Matters: Cross Contrastive Learning for Flink Anomaly Detection”, accepted at VLDB 2025, introduces a novel cross‑contrastive method that leverages attention‑based representations and a boundary‑aware loss to detect Flink‑specific hotspot anomalies, achieving a 12.1% F1 improvement over state‑of‑the‑art techniques.
Big DataCross-Contrastive LearningFlink
0 likes · 6 min read
