IMDEA Networks
Dr. Nikolaos LAOUTARIS
Research Professor
- PhD: Computer Science - University of Athens. Atenas, Grecia
- Puesto anterior: Senior Researcher. Telefónica. Barcelona. España & Director of Data Science. Eurecat. Barcelona. España
- Fecha de incorporación: Diciembre 2018
- Website: http://laoutaris.info/
- Email: nikolaos.laoutaris@imdea.org
- Tel: +34 91 481 6917
Biografía
Nikolaos Laoutaris is a research professor at IMDEA Networks Institute in Madrid, and director of its Data Transparency Group (DTG). Prior to that he was director of data science at Eurecat and chief scientist of the Data Transparency Lab which he co-founded in 2014 during his 10 year tenure as a researcher in Telefonica. Before that, Nikolaos was a postdoc fellow at Harvard University, a Marie Curie postdoc fellow at Boston University, and a PhD student in computer science at the University of Athens. His main research interests include privacy, transparency, data protection, economics of networks and information, intelligent transportation, distributed systems, protocols, and network measurements.
Proyectos de investigación
MLEDGE
Investigador principal
Aprendizaje automático en la nube y en el borde
Más informaciónarrow_right_altODIO
Investigador principal
The Open Digital Identity Observatory
Más informaciónarrow_right_altDW-marking
Investigador principal
Marcado de agua en datos: El enlace necesario para la implementación dentro y fuera de la cadena de los mercados de datos distribuidos
Más informaciónarrow_right_altDataBri-X
Investigador principal
Proceso de datos y bloques tecnológicos para ampliar la creación de valor digital en los espacios de datos europeos
Más informaciónarrow_right_altGenAI4ED
Investigador principal
Una plataforma para evaluar y conectar la inteligencia artificial generativa y las habilidades humanas en la educación secundaria
Más informaciónarrow_right_altPIMCITY
Investigador principal
Construyendo las plataformas de datos personales de próxima generación
Más informaciónarrow_right_alt
Publicaciones
MUDGUARD: Taming Malicious Majorities in Federated Learning using Privacy-Preserving Byzantine-Robust Clustering
Rui Wang, Xingkai Wang, Huanhuan Chen, Jérémie Decouchant, Stjepan Picek, Nikolaos Laoutaris, Kaitai Liang
ACM SIGMETRICS. Stony Brook, New York, USA. Junio 2025
Information-Theoretical Bounds on Privacy Leakage in Pruned Federated Learning
Tianyue Chu, Mengwei Yang, Nikolaos Laoutaris, Athina Markopoulou
ISIT 2024 Workshop on Information-Theoretic Methods for Trustworthy Machine Learning. Athens, Greece. Julio 2024
FedQV: Leveraging Quadratic Voting in Federated Learning
Tianyue Chu, Nikolaos Laoutaris
ACM SIGMETRICS. Venice, Italy. Junio 2024
HyperGraphDis: Leveraging Hypergraphs for Contextual and Social-Based Disinformation Detection
Nikos Salamanos, Pantelitsa Leonidou, Nikolaos Laoutaris, Michael Sirivianos, Maria Aspri, Marius Paraschiv
AAAI International Conference on Web and Social Media. Buffalo, New York, USA. Junio 2024
FreqyWM: Frequency WaterMarking for the New Data Economy
Devriş Işler, Elisa Cabana, Alvaro Garcia, Georgia Koutrika, Nikolaos Laoutaris
International Conference on Data Engineering. Utrecht, Netherlands. Mayo 2024