Privacy‐Preserving Federated Deep Learning for 6G Network Security Monitoring
Deep federated learning (DFL) has emerged as an effective paradigm for privacy‐preserving decentralized intelligence in sixth‐generation mobile networks. Increasing deployment of intelligent network services introduces challenges associated with high communication overhead, susceptibility to model poisoning attacks,...