4 min readGuide
Privacy, Secure Aggregation and Robustness in DFL
Combine differential privacy, secure aggregation and robust DFL with explicit trust assumptions, local threat budgets and joint evaluation.
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.
5 articles. Page 1 of 1.
5 min readGuide
Designing a Decentralized Federated Learning System
Design a DFL system with topology, message contracts, mixing weights, recovery policies and per-client evaluation.
5 min readGuide
From Survey to Prototype: A Research Workflow for DFL
From the DFL survey to Flighter and Modalis: turn literature into testable hypotheses, reproducible experiments and traceable evidence.
5 min readGuide
NEBULA: A Platform for Decentralized Federated Learning
NEBULA guide: architecture, official documentation and a reproducible protocol for evaluating DFL topology, privacy, attacks and resources.
6 min readGuide
Decentralized Federated Learning: Fundamentals and Applications
DFL foundations: peer aggregation, topology, convergence, privacy and communication. Learn when it fits better than server-based FL.