Federated learning utilizes various resources provided by participants to collaboratively train
a global model, which potentially address the data privacy issue of machine learning. In …

This paper provides a literature review of freight transportation service procurement and
investigates the challenges and opportunities regarding transportation organization and …

The success of human civilization is rooted in our ability to cooperate by communicating and
making joint plans. We study how artificial agents may use communication to better …

Artificial Intelligence (AI) has attracted a great deal of attention in recent years. However,
alongside all its advancements, problems have also emerged, such as privacy violations …

MapReduce is emerging as a generic parallel programming paradigm for large clusters of
machines. This trend combined with the growing need to run machine learning (ML) …

As wireless systems evolve with new mobile technologies, they tend to become complicated
in terms of architectures and managements. Auction theory, as a subfield of economics and …

Edge computing as a promising technology provides lower latency, more efficient
transmission, and faster speed of data processing since the edge servers are closer to the …

We present a cloud resource procurement approach which not only automates the selection
of an appropriate cloud vendor but also implements dynamic pricing. Three possible …

Wireless network virtualization (WNV) is considered as a reliable and effective solution to
enhance the capacity and resource utilization in emerging 5G cellular wireless networks …

Tremendous efforts have been made to protect the location privacy of mobile users. Some of
them, eg, k-anonymity, require the participation of multiple mobile users to impede the …