Collaborative Log Anomaly Detection Using LLM With Privacy-Constrained Retrieval
This paper proposes a distributed framework for collaborative log anomaly detection that integrates privacy-constrained vector retrieval with large language model (LLM) inference, and enables LLM-based reasoning without requiring all logs to be centralized.