Federated learning (FL) becomes popular and has shown great potentials in training large-
scale machine learning (ML) models without exposing the owners' raw data. In FL, the data …

This article is the second part of a review of recent empirical and theoretical developments
usually grouped under the heading Econophysics. In the first part, we reviewed the statistical …

This book discusses the study and analysis of the physical aspects of social systems and
models, inspired by the analogy with familiar models of physical systems and possible …

Demand outstrips available resources in most situations, which gives rise to competition,
interaction and learning. In this article, we review a broad spectrum of multi-agent models of …

Resource management in Internet-of-Things (IoT) systems is a major challenge due to the
massive scale and heterogeneity of the IoT system. For instance, most IoT applications …

Recently, the network slicing technology has emerged enabling network operators to
provide dedicated virtual networks to customers, over a common network infrastructure. This …

We present here a somewhat personalized account of the emergence of econophysics as
an attractive research topic in physical, as well as social, sciences. After a rather detailed …

We study a model of competition among nomadic agents for time-varying and location-
specific resources arising in crowdsourced transportation services, online communities, and …

There are a number of well‐known problems and conjectures about partitioning graphs to
satisfy local constraints. For example, the majority colouring conjecture of Kreutzer, Oum …

We study the dynamics of a few stochastic learning strategies for the'Kolkata Paise
Restaurant'problem, where N agents choose among N equally priced but differently ranked …