5 min readResearch note
Flighter: Situational Awareness as a Reliability Signal in DFL
How Flighter combines context and models to evaluate DFL reliability: study scope, indicator ablations and participant recovery.
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.
13 articles. Page 2 of 3.
5 min readResearch note
DFL Is More Than Federated Learning Without a Server
Why DFL changes coordination, consensus and trust. Identify central dependencies and test which services survive a failure.
5 min readResearch note
From Monitoring to Mitigation: A DFL Cyberdefense Lifecycle with LLM Explanations
Connect telemetry, federated learning, alerts and LLM-assisted mitigation with traceable evidence, validation and reviewed feedback.
3 min readResearch note
Situational Awareness for Cyberdefense with Decentralized Federated Learning
Build cyberdefense situational awareness with DFL: provenance, coverage, uncertainty and shared context for operational decisions.
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.
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.