Abstract: Federated learning enables multiple autonomous aerial vehicles (AAVs) to collaboratively train a global model while preserving data privacy. However, data heterogeneity across AAV swarms ...
Abstract: Pattern matching algorithms lie at the core of all contemporary Intrusion Detection Systems (IDS), making it intrinsic to reduce their speed and memory requirements. This paper focuses on ...