Implement Federated Learning with Subjective Logic Model

I need help in implementing the methods described in this paper: [login to view URL]

The implementation to be done in Python code. Below is a summary of the main implementation steps:

• Implement Federated Learning with its main protocols (e.g. Federated Averaging algorithm, etc.)

• Implement Poisoning Attack detection methods to detect malicious clients in Federated Learning as described in the paper

• Implement “Subjective Logic Model” to calculate reputation values for clients based on their behavior (malicious / normal) in the Federated Learning environment

• Perform the simulation setting as described in the paper and produce similar performance results

Kemahiran: Python, Machine Learning (ML), Neural Networks, Tensorflow

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ID Projek: #27272871