Docs
Documentation for both LydianAI open-source projects.
Federated ML
Set up the coordinator and workers, configure GPU paths, and run your first training round.
Architecture
Server/coordinator + worker loop for FedAvg training over Tailscale.
ConceptsQuickstart
Run the FedAvg training PoC: start server, start workers, launch a training run, and monitor results.
Getting StartedNetworking with Tailscale
Put server and workers on the same tailnet and use stable 100.x IPs.
GuidesNEW vs LEGACY GPU setup
Modern CUDA wheels vs Pascal (GTX 1080/1080 Ti) pinned legacy stack.
GuidesCLI reference
Start runs, monitor progress, and fetch results using client.submit_job.
ReferenceAssurance-as-Code
Deploy the backend, create a SW System project, and manage compliance artifacts for UNECE R155, R156, and ISO 29119.
Deployment
Deploy the Assurance-as-Code backend using Docker Compose.
Assurance-as-CodeCreating a project
Set up a SW System project with the applicable ASIL level and standards profile.
Assurance-as-CodeManaging artifacts
Create requirements, hazard analyses, test cases, and test results. Link them to form a complete traceability chain.
Assurance-as-CodeRelease baselines
Run the release-gate check and generate a timestamped baseline snapshot for regulatory submission.
Assurance-as-CodeConnecting a GitHub repository
Set up the GitHub App, configure a repository connector, and add .aac/repo.yml to link source code to requirements automatically.
Assurance-as-Code