FederatedTrust: A Solution for Trustworthy Federated Learning. (arXiv:2302.09844v2 [cs.CR] UPDATED)

The rapid expansion of the Internet of Things (IoT) and Edge Computing has
presented challenges for centralized Machine and Deep Learning (ML/DL) methods
due to the presence of distributed data silos that hold sensitive information.
To address concerns regarding data privacy, collaborative and
privacy-preserving ML/DL techniques like Federated Learning (FL) have emerged.
However, ensuring data privacy and performance alone is insufficient since
there is a growing need to establish trust in model predictions. Existing
literature has proposed various approaches on …

address challenges computing data data privacy data silos deep learning distributed edge edge computing expansion federated learning information internet internet of things iot machine presence privacy rapid sensitive information silos solution techniques things