Repository with code for Flower-PROV framework, which extends Flower framework architecture adding provenance capabilities and possibility of dynamic-tuning and fault tolerance.
To monitor, run streamlit run monitoring/Flower-PROV_Monitor.py
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Provenance-based Dynamic Fine-Tuning of Federated Machine Learning Framework
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UFFeScience/Flower-PROV
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Provenance-based Dynamic Fine-Tuning of Federated Machine Learning Framework
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