3 min readGuide
Golden Sets for LLM Evaluation: Small, Curated and Difficult to Cheat
Build golden sets for LLMs and RAG with examples, adjudication, leakage-aware splits and bilingual security cases.
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.
3 min readGuide
Metrics for LLMs, RAG and Cybersecurity Systems
LLM and RAG metrics: retrieval recall, citations, unsafe actions, calibration, latency and uncertainty. Define fair comparisons.
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.
7 min readGuide
Federated Learning Without Sharing Raw Data
Learn how federated learning and FedAvg work, what differential privacy and secure aggregation protect, and how to evaluate collaboration.