23 lines
1.4 KiB
Markdown
23 lines
1.4 KiB
Markdown
# CatOpt-Grid
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Category-Theoretic Compositional Optimizer for Cross-Domain, Privacy-Preserving Distributed Edge Meshes.
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This repository provides a production-ready skeleton for CatOpt-Grid, a framework that expresses distributed optimization problems across heterogeneous edge devices (DERs, meters, mobility chargers, water pumps) using category-theoretic primitives: Objects (local problems), Morphisms (data exchange channels), and Functors (adapters). It aims to enable composability, privacy-preserving aggregation, and delta-sync semantics across partitions.
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Design goals
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- Privacy by design: secure aggregation, optional local differential privacy, and federated updates.
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- Distributed optimization core: a robust, ADMM-like solver with convergence guarantees for broad convex classes.
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- Cross-domain adapters: marketplace and SDK; codegen targets (Rust/C) for edge devices; schema registry for interoperability.
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- Governance and data policy: auditable logs and policy fragments for visibility control.
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- Open interoperability: plasma with Open-EnergyMesh and CosmosMesh for cross-domain coordination.
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Getting started
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- This is a skeleton MVP focused on core primitives and a minimal solver to enable testing and integration.
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- Install: python3 -m pip install . (after packaging)
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- Run tests: bash test.sh
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Contributing
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- See AGENTS.md for architectural rules and contribution guidelines.
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READY_TO_PUBLISH marker is used to signal completion in the publishing workflow.
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