A data intermediary acquires signals from individual consumers regarding their preferences.
The intermediary resells the information in a product market wherein firms and consumers …

We consider a crowdsourcing data acquisition scenario, such as federated learning, where
a Center collects data points from a set of rational Agents, with the aim of training a model …

Linear regression is a fundamental building block of statistical data analysis. It amounts to
estimating the parameters of a linear model that maps input features to corresponding …

In the classical communication setting, multiple senders having access to the same source
of information and transmitting it over channel (s) to a receiver, in general, leads to a …

We consider a peer-to-peer electricity market modeled as a network game, where End Users
(EUs) minimize their cost by computing their demand and generation while satisfying a set of …

Companies are increasingly using data to predict behavior and improve the relation with
their customers. In this context, data exchange raises important concerns regarding …

We consider the problem of linear regression from strategic data sources with a public good
component, ie, when data is provided by strategic agents who seek to minimize an …

Data marketplaces are the digital platforms on which data providers and buyers exchange
data and the marketplace supports the security of transactions and also ensures the …

Balancing Efficiency and Privacy in a Decision-Dependent Network Game Page 1 HAL Id:
hal-03925261 https://inria.hal.science/hal-03925261 Submitted on 5 Jan 2023 HAL is a …

We consider a peer-to-peer electricity market modeled as a network game, where End Users
(EUs) minimize their cost by computing their demand and generation while satisfying a set of …