This use case will evaluate the introduction of computer vision models for mobile applications, across the cloud-edge continuum and according to the MANOLO framework, its methods and practices, aiming to enhance trustworthiness and incorporate privacy by design.

The centralized deployment of Convolutional Neural Networks (CNNs) allows advanced features for the service like image classification and face detection but requires the use of unencrypted photo content on the MLaaS cloud, leading to privacy concerns and low feature adoption.

The introduction of computer vision models for mobile applications, across the cloud-edge continuum and according to the MANOLO framework, its methods and practices, aims to enhance trustworthiness and incorporate privacy by design.

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