The rapid advances in the Internet of Things (IoT) have promoted a revolution in
communication technology and offered various customer services. Artificial intelligence (AI) …

Abstract Machine Learning (ML) algorithms are used to train the machines to perform
various complicated tasks that begin to modify and improve with experiences. It has become …

Using Web APIs registered in service sharing communities for mobile APP development can
not only reduce development period and cost, but also fully reuse state-of-the-art research …

Recent advancements in face recognition (FR) technology in surveillance systems make it
possible to monitor a person as they move around. FR gathers a lot of information …

Differential privacy has been a de facto privacy standard in defining privacy and handling
privacy preservation. It has had great success in scenarios of local data privacy and …

Data transparency is beneficial to data participants' awareness, users' fairness, and
research work's reproducibility. However, when addressing transparency requirements, we …

With the rapid development of artificial intelligence (AI), combining machine learning (ML)
and edge computing powered by big data has become a growing trend. However, under …

Synthetic data has made tremendous strides in various commercial settings including
finance, healthcare, and virtual reality. We present a broad overview of prototypical …

Abstract Federated Learning for the Internet of Things (FL for IoT) contributes to the
enhancement of security in smart cities. However, the privacy disclosure attacks within the …

Vision is the most important sense for people, and it is also one of the main ways of
cognition. As a result, people tend to utilize visual content to capture and share their life …