IMDEA Networks
Dr. Nikolaos LAOUTARIS
Research Professor
- PhD: Computer Science - University of Athens. Athens, Greece
- Former position: Senior Researcher. Telefónica. Barcelona. Spain & Director of Data Science. Eurecat. Barcelona. Spain
- Joining date: December 2018
- Website: http://laoutaris.info/
- Email: nikolaos.laoutaris@imdea.org
- Phone: +34 91 481 6917
Biography
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.
Research projects
MLEDGE
Main researcher
Cloud and Edge Machine Learning
More infoarrow_right_altODIO
Main researcher
The Open Digital Identity Observatory
More infoarrow_right_altDW-marking
Main researcher
Data Watermarking: The missing link to on-/off-chain implementation of distributed data marketplaces
More infoarrow_right_altDataBri-X
Main researcher
Data Process & Technological Bricks for expanding digital value creation in European Data Spaces
More infoarrow_right_altGenAI4ED
Main researcher
A platform for Assessing and Bridging Generative AI and Human Skills in Secondary Education
More infoarrow_right_altPIMCITY
Main researcher
Building the next generation personal data platforms
More infoarrow_right_alt
Publications
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. June 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. July 2024
FedQV: Leveraging Quadratic Voting in Federated Learning
Tianyue Chu, Nikolaos Laoutaris
ACM SIGMETRICS. Venice, Italy. June 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. June 2024
FreqyWM: Frequency WaterMarking for the New Data Economy
Devriş İşler, Elisa Cabana, Álvaro García-Recuero, Georgia Koutrika, Nikolaos Laoutaris
International Conference on Data Engineering. Utrecht, Netherlands. May 2024