Evaluation:
This article highlights the need for ML models that are aware of the computing environment and suggests a trust evaluation system.It also points to the advantages of this approach, such as aa tamper-proof data history, increased trust through rating and certification, and accountability in the ML pipeline.In short, the case study analyzes key concepts related to ML pipelines, blockchain technologies and proposed a framework to securely leverage blockchain to address various security challenges of ML pipelines.The trust management system includes smart contracts, feedback mechanisms and Trust values updating regularly.????