9 citations · 12 across the 3 of their papers we have counts for
7 papers
FedPoP: Federated Learning Meets Proof of Participation
Devriş İşler, Elina van Kempen, Seoyeon Hwang +1
Federated learning (FL) offers privacy preserving, distributed machine learning, allowing clients to contribute to a global model without revealing their local data. As models incr…
Reducing Street Parking Search Time via Smart Assignment Strategies
Behafarid Hemmatpour, Javad Dogani, Nikolaos Laoutaris
In dense metropolitan areas, searching for street parking adds to traffic congestion. Like many other problems, real-time assistants based on mobile phones have been proposed, but…
A Survey of Data Marketplaces and Their Business Models
Santiago Andrés Azcoitia, Nikolaos Laoutaris
"Data" is becoming an indispensable production factor, just like land, infrastructure, labor or capital. As part of this, a myriad of applications in different sectors require huge…
Try Before You Buy: A practical data purchasing algorithm for real-world data marketplaces
Santiago Andrés Azcoitia, Nikolaos Laoutaris
Data trading is becoming increasingly popular, as evident by the appearance of scores of Data Marketplaces (DMs) in the last few years. Pricing digital assets is particularly compl…
Computing the Relative Value of Spatio-Temporal Data in Wholesale and Retail Data Marketplaces
Santiago Andrés Azcoitia, Marius Paraschiv, Nikolaos Laoutaris
Spatio-temporal information is used for driving a plethora of intelligent transportation, smart-city, and crowd-sensing applications. Since data is now considered a valuable produc…
Valuating User Data in a Human-Centric Data Economy
Marius Paraschiv, Nikolaos Laoutaris
The idea of paying people for their data is increasingly seen as a promising direction for resolving privacy debates, improving the quality of online data, and even offering an alt…