Fairness is a major concern in contemporary decision problems. In these situations, the
objective is to maximize fairness while preserving the efficacy of the underlying decision …

Metaverse applications such as virtual reality (VR) content streaming, require optimal
resource allocation strategies for mobile edge computing (MEC) to ensure a high-quality …

This work considers a dynamic decision making framework for allocating opportunities over
time to advantaged and disadvantaged individuals, focusing on the example of college …

There is growing interest in including fairness in optimization models. In particular, the
concept of fairness over time, or, long-term fairness, is gaining attention. In this paper, we …

We consider a fair resource allocation problem in the no-regret setting against an
unrestricted adversary. The objective is to allocate resources equitably among several …

Passenger railway operators typically employ large numbers of drivers and guards, and are
interested in providing them with fair and attractive working conditions. At Netherlands …

O-RAN systems and their deployment in virtualized general-purpose computing platforms (O-
Cloud) constitute a paradigm shift expected to bring unprecedented performance gains …

Recent studies successfully learned static graph embeddings that are structurally fair by
preventing the effectiveness disparity of high-and low-degree vertex groups in downstream …

The online knapsack problem is a classic problem in the field of online algorithms. Its
canonical version asks how to pack items of different values and weights arriving online into …

This paper investigates resource allocation to provide heterogeneous users with customized
virtual reality (VR) services in a mobile edge computing (MEC) system. We first introduce a …