33 lines
1.7 KiB
Markdown
33 lines
1.7 KiB
Markdown
# CosmosMesh Privacy-Preserving Federated Mission Planning (CatOpt MVP)
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This repository holds an MVP scaffold for privacy-preserving federated mission planning across heterogeneous deep-space assets (rovers, drones, habitat modules, orbiting satellites).
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Key idea
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- Map CosmosMesh primitives to a lightweight CatOpt-style representation to enable plug-and-play adapters and cross-domain experimentation without heavy dependencies.
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Core MVP outline
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- Objects = LocalProblems (per-asset planning tasks)
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- Morphisms = SharedVariables / DualVariables (data channels with versioned contracts)
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- Functors = Adapters translating device-specific models into canonical CosmosMesh problems
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- Lightweight transport (TLS-based) and a tiny ADMM-lite solver per asset
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- Graph-of-Contracts registry for schemas and per-message metadata to support audits and replay protection
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What’s included in this patch
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- Added a minimal CatOpt bridge module: src/cosmosmesh_privacy_preserving_federated/catopt_bridge.py
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- Package initializer: src/cosmosmesh_privacy_preserving_federated/__init__.py
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- Lightweight unit test: tests/test_catopt_bridge.py
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- Simple usage example via a RoundTrip encoding path
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- Basic README describing MVP approach and how to extend
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How to run tests
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- Ensure Python 3.8+ environment
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- Run: bash test.sh
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- The test suite includes a basic sanity check for the CatOpt bridge encoding.
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Next steps (high level)
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- Wire two starter adapters (rover planner and habitat life-support) into the bridge
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- Implement a small ADMM-lite solver per asset and a toy end-to-end round trip
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- Add delta-sync protocol scaffolding and an auditable reconciliation log
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This work aligns with the roadmap described in AGENTS.md and is designed to be extended incrementally.
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