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Changes in the implementation and Gateway for model-treatment added #5

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This PR implements the mocked functionality for model aggregation and updates in the Hyperledger Fabric chaincode. The implementation includes two main chaincodes: model-aggregation and model-updates, which pretend to handle the federated learning model aggregation process.

Key Changes:

Added model aggregation chaincode with:

  • Matrix conversion utilities for handling float64 data
  • Model update calculation and aggregation logic
  • State management for aggregated models

Added model updates chaincode for:

  • Handling individual model updates
  • State management for model versions
  • Integration with the DLT operations

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