DP-FlogTinyLLM: Differentially private federated log anomaly detection using Tiny LLMs

ArXi:2604.19118v1 Announce Type: cross Modern distributed systems generate massive volumes of log data that are critical for detecting anomalies and cyber threats. However, in real world settings, these logs are often distributed across multiple organizations and cannot be centralized due to privacy and security constraints. Existing log anomaly detection methods, including recent large language model (LLM) based approaches, largely rely on centralized