13 lines
655 B
Markdown
13 lines
655 B
Markdown
# Architecture and Contribution Guide
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- Language: Python 3.8+
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- Core Tech Stack: NumPy for numeric computations; a minimal federated learning abstraction.
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- Key Components:
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- Client: local dataset, performs simple gradient descent to update weights, caches updates when offline.
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- Server: aggregates client weight deltas with optional DP-noise, updates global model.
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- Testing:
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- Run tests via ./test.sh which executes pytest and validates packaging with python -m build.
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- How to contribute:
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- Implement new privacy-preserving aggregation strategies or richer client models.
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- Extend tests to cover offline caching and connectivity scenarios.
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