To provide an architectural framework and application guidelines for blockchain-based federated machine learning (BC-FML), including the following:--A description and a definition of BC-FML--The types for BC-FML--Application scenarios for each type--A definition of capability for BC-FML and guidelines for evaluating these systems--Security and privacy guidelines of BC-FML--Performance evaluation of BC-FML in real application systems
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