[Fix] Improve reputation module#48
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Summary
This Pull Request adds the new version of the reputation module used to evaluate client behavior in a decentralized federated learning environment.
Motivation
The goal is to mitigate the impact of potentially malicious or unreliable clients by assigning a reputation score before aggregation. This score helps to weigh client contributions based on trustworthiness.
Key Changes
Implemented a ReputationModule with four main metrics:
Fraction of parameters changed
Model similarity (cosine distance)
Incoming message flow
Model submission delay
Integrated scoring into the pre-aggregation phase.
Checklist
Signed-off-by.