1.7 KiB
1.7 KiB
MarketMesh Privacy-Preserving Federated Benchmarking
Overview
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Lightweight, open-source federation platform for sharing anonymized growth KPIs to generate cross-market benchmarks without exposing raw data.
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MVP features: contract-driven data exchange, privacy budgets, secure/DP aggregation, delta-sync, governance ledger, adapters marketplace, and a CatOpt-inspired interoperability abstraction.
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Getting Started
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Install (editable): python -m build pip install .
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Run tests: ./test.sh
MVP Extensions (What’s next)
- Governance ledger: tamper-evident audit logs for reproducibility and compliance.
- Contract registry: versioned contract management for cross-adapter interoperability.
- DSL scaffold: LocalExperiment/SharedStats primitives to describe experiments and signals.
- Adapter conformance: lightweight checks to ensure adapters map to canonical signals as per contracts.
- Delta-sync enhancements: bounded-staleness, version vectors, and deterministic reconciliation on reconnects.
- Run tests: ./test.sh
Project Structure (high level)
- marketmesh_privacy_preserving_federated_: Core package with protocol, aggregation, governance and adapters scaffolding.
- marketmesh_privacy_preserving_federated_/adapters: Stripe and Shopify adapters (minimum viable implementations).
- tests: Basic unit tests for protocol/aggregation and adapter mappings.
How to contribute
- Implement additional adapters by adding modules under adapters/ and mapping their signals to canonical KPIs.
- Extend the protocol with more contract fields and governance rules as needed.
License
- MIT-style license (placeholder in this MVP).
This README is linked in pyproject.toml for packaging visibility.