3 min readResearch note
Drones, Edge Intelligence and DFL for Cyberdefense Operations
DFL for drones and edge systems: local inference, intermittent links, node recovery and evaluation of resources and reliability.
Research Notes on Federated Learning, Cybersecurity and Cyberdefense
Research notes and technical guides on federated learning, distributed AI, cyberdefense, trustworthy systems, and privacy-preserving platforms.
Topic: AI and Machine Learning for Cyberdefense Clear topic
10 articles. Page 2 of 2.
3 min readResearch note
Byzantine-Resilient Aggregation for Decentralized Federated Learning
Median, trimmed mean and trust in DFL: examples, local poisoning assumptions and defense costs with legitimate non-IID clients.
3 min readResearch note
Privacy-Preserving IoT Security with Decentralized Federated Learning
Privacy in IoT security with DFL: protected units, differential privacy budgets, secure aggregation and leakage-aware evaluation.
3 min readResearch note
Federated Energy Anomaly Detection for Critical Infrastructure
Federated energy anomaly detection: temporal splits, false alerts, drift and operational evidence for critical infrastructure.