Full leverage of the huge volume of data generated on a large number of user devices for
providing intelligent services in the 6G network calls for Ubiquitous Intelligence (UI). A key to …

Machine learning (ML) models have been widely applied to various applications, including
image classification, text generation, audio recognition, and graph data analysis. However …

Federated Learning (FL) is a platform for smart healthcare systems that use wearables and
other Internet of Things enabled devices. However, source inference attacks (SIAs) can infer …

Federated Learning (FL) is an increasingly popular form of distributed machine learning that
addresses privacy concerns by allowing participants to collaboratively train machine …

The trend of the next generation of the internet has already been scrutinized by top analytics
enterprises. According to Gartner investigations, it is predicted that, by 2024, 75% of the …

Big data has been advocated as a dominant driving force to unleash the great waves of the
next-generation industrial revolution. While the ever-increasing proliferation of …

The marriage of federated learning and recommender system (FedRec) has been widely
used to address the growing data privacy concerns in personalized recommendation …

Federated learning (FL) is a machine learning approach that decentralizes data and its
processing by allowing clients to train intermediate models on their devices with locally …

In recent years, deep learning methods based on a large amount of data have achieved
substantial success in numerous fields. However, with increases in regulations for protecting …

Abstract Internet-of-things (IoT) is a revolutionary paragon that brings automation and
easiness to human lives and improves their experience. Smart Homes, Healthcare, and …