Responsible Artificial Intelligence (RAI) is widely considered as one of the greatest scientific
challenges of our time and is key to increase the adoption of Artificial Intelligence (AI) …

In recent years, deep learning (DL) models have demonstrated remarkable achievements
on non-trivial tasks such as speech recognition, image processing, and natural language …

Federated learning is an emerging privacy-preserving AI technique where clients (ie,
organizations or devices) train models locally and formulate a global model based on the …

Federated learning has received fast-growing interests from academia and industry to tackle
the challenges of data hungriness and privacy in machine learning. A federated learning …

AI ethics principles and guidelines are typically high-level and do not provide concrete
guidance on how to develop responsible AI systems. To address this shortcoming, we …

The rise of data-sharing platforms, driven by public demand for open data and legislative
mandates, has raised several pertinent issues. These encompass uncertainties over data …

The study considers the closed-loop supply chain (CLSC) decision using federated learning
platform (FL platform), establishes a CLSC game model including one manufacturer, one …

Federated learning is an emerging privacy-preserving AI technique where clients (ie,
organisations or devices) train models locally and formulate a global model based on the …

With the continuous development of Artificial Intelligence (AI), AI services are becoming
increasingly influential in society, affecting both individual lives and enterprise production …

Federated machine learning is an innovative technique to allow one to train machine
learning models mainly on distributed (user) devices not to share private data with third …