cosmosmesh-privacy-preserving-federated (0.0.2)
Published 2026-04-19 19:29:00 +00:00 by forgeadmin
Installation
pip install --index-url About this package
Minimal MVP scaffold for CosmosMesh privacy-preserving federated mission planning.
CosmosMesh MVP: Privacy-Preserving Federated Mission Planning for Deep-Space Constellations
Overview
- CosmosMesh is a modular open-source platform for offline-first, privacy-preserving coordination among heterogeneous space assets (rovers, drones, habitat modules, orbiting satellites) operating in deep-space fleets with intermittent communication.
- It provides a category-theory-inspired compositional optimization layer on top of a mesh communication substrate to enable distributed planning and resource optimization without centralization.
- MVP surface focuses on a small, testable surface that exercises a CatOpt-like orchestration layer and a canonical bridge to a vendor-agnostic IR.
Key concepts (MVP scope)
- LocalProblem: per-asset optimization tasks with variables, objectives, and constraints, plus versioning and data contracts.
- SharedVariables / DualVariables: exchanged signals and multipliers for federated optimization (ADMM-lite).
- PlanDelta: incremental plan changes with timestamp and author signatures.
- GoC (Graph-of-Contracts) registry: lightweight, versioned schema registry for adapters and data contracts.
- Delta-sync and offline resilience: deterministic replay and reconciliation for intermittent links.
- Privacy by design: secure aggregation, optional local DP budgets, role-based exposure.
- Identity and security: DIDs or short-lived certificates, tamper-evident logs.
- Adapters and simulators: reference adapters for rovers, habitat modules, and orbiting assets; a mission-scenario simulator.
- Open API and governance: canonical interfaces to enable vendor-neutral interoperability and governance anchoring.
MVP Plan (high-level, 8–12 weeks)
- Phase 0 (0–4w): protocol skeleton, two starter adapters (e.g., rover_planner, habitat_module) over TLS; a lightweight ADMM-lite coordinator; end-to-end delta-sync with deterministic replay; toy objective (e.g., mesh energy balance).
- Phase 1 (4–8w): governance ledger scaffolding, identity layer (DID/short-lived certs), secure aggregation defaults for SharedVariables; 2-adapter conformance harness.
- Phase 2 (8–10w): cross-domain demo in simulation (e.g., rover + habitat + satellite); CosmosMesh SDK bindings (Python/C++); reference transport and contract example.
- Phase 3 (10–12w): hardware-in-the-loop validation (Gazebo/ROS) with KPI dashboards for convergence, delta sizes, latency, and governance auditability.
Interoperability blueprint
- Canonical bridge (EnergiBridge-style) maps CosmosMesh primitives to a vendor-agnostic CatOpt-like IR:
- LocalProblem ⇄ LocalProblems (Objects)
- SharedVariables / DualVariables ⇄ Morphisms
- PlanDelta ⇄ PlanDelta
- PrivacyBudget / AuditLog blocks for governance and provenance
- Graph-of-Contracts (GoC) registry anchors adapters and schemas; per-message metadata guards replay and drift.
Minimal DSL seeds for interoperability (low surface area)
- LocalProblem { id, domain, assets, objective, constraints, solver_hint }
- SharedVariables { forecasts, priors, version }
- PlanDelta { delta, timestamp, author, contract_id, signature }
- DualVariables { multipliers }
- PrivacyBudget { signal, budget, expiry }
- AuditLog { entry, signer, timestamp, contract_id, version }
- PolicyBlock { safety, exposure_rules }
- GoC registry entry schema (adapter_id, supported_domains, contract_version)
How to run and contribute
- Run tests and packaging checks: bash test.sh
- Build the package for distribution: python3 -m build
- To contribute, follow AGENTS.md guidance in the repository and open a PR with focused changes.
- The package is Python-based; packaging relies on pyproject.toml with a README integration:
- readme = "README.md"
How to extend
- Add new adapters under the adapters module, following the existing interface patterns.
- Extend the DSL sketch to cover additional primitives as needed for your mission.
- Implement a small simulator to exercise delta-sync and islanding scenarios.
Publishing readiness
- This repository includes a ready-to-publish surface for a production-grade MVP.
- If you intend to publish, ensure tests pass, add tests for any new public surface, and create a READY_TO_PUBLISH file (present at repo root once ready).
Caveats
- This is a test-focused MVP surface designed to validate interoperability and the core ideas of privacy-preserving federated planning.
- The real-world deployment involves more rigorous threat modelling, cryptographic guarantees, and robust networking stacks.
See also
- AGENTS.md for contribution guidelines and architectural rules.
- The existing tests cover core bridges (CatOpt and EnergiBridge) and contract models.
Happy coding.
Requirements
Requires Python: >=3.8