Consensus Algorithms

Purpose

• Ensure integrity and accuracy of AI/ML model architectures post-training.

• Use checksum algorithms to verify the authenticity and consistency of the model.

Process

• Upon completion of model training, the Protocol Node initiates a re-validation process.

• Utilizes cryptographic checksums to compare the trained model against its original architecture.

Security and Accuracy

• Ensures that the model has not been tampered with or altered unintentionally during training.

• Maintains a high standard of model reliability and trustworthiness.