Federated Machine Learning for Privacy-Preserving Cyberattack Detection Across Distributed Edge and Telecommunications Network Environments
A hierarchical federated machine-learning framework for privacy-preserving detection of coordinated attacks across heterogeneous telecommunications edge environments and provides a scalable security architecture for converting distributed network observations into shared cyber-threat intelligence while retaining operat...