IMDEA Networks
User Publications
SemanticDFL: Similarity-Aware Pull-based Personalized Decentralized Federated Learning
Javad Dogani, Mostafa Khastkhodaei, Farshad Khunjush, Nikolaos Laoutaris
Measurement and Modeling of Computer Systems. Ann Arbor, MI, USA.. June 2026
Reducing Street Parking Search Time via Smart Assignment Strategies
Behafarid Hemmatpour, Javad Dogani, Nikolaos Laoutaris
ACM International Conference on Advances in Geographic Information Systems. Minneapolis, MN, USA. November 2025
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
Measurement and Modeling of Computer Systems. Stony Brook, New York, USA. June 2025
PriPrune: Quantifying and Preserving Privacy in Pruned Federated Learning
Tianyue Chu, Mengwei Yang, Nikolaos Laoutaris, Athina Markopoulou
ACM Transactions on Modeling and Performance Evaluation of Computing Systems. 10.1145/3702241. November 2024
An Intelligent Data-enabled Mobile Network Architecture
Arturo Azcorra, Albert Banchs, Nikolaos Laoutaris, Joerg Widmer
Springer. September 2024
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
Strengthening Privacy in Robust Federated Learning through Secure Aggregation
Tianyue Chu, Devriş İşler, Nikolaos Laoutaris
Workshop on Artificial Intelligence System with Confidential Computing (AISCC 2024), co-located with NDSS Symposium 2024. San Diego, CA, USA. February 2024
Graph Database Watermarking Using Pseudo-Nodes
Tsvetomir Hristov, Devriş İşler, Nikolaos Laoutaris, Zekeriya Erkin
ACM Data Economy Workshop (DEC), co-located with ACM SIGCMOD 2023. Seattle, WA, USA. June 2023
Image Watermarking for Machine Learning Datasets
Palle Maesen, Devriş İşler, Nikolaos Laoutaris, Zekeriya Erkin
ACM Data Economy Workshop (DEC), co-located with ACM SIGCMOD 2023. Seattle, WA, USA. June 2023
Understanding the Price of Data in Commercial Data Marketplaces
Santiago Andrés, Costas Iordanou, Nikolaos Laoutaris
IEEE International Conference on Data Engineering. Los Angeles, California, USA. April 2023
Securing Federated Sensitive Topic Classification against Poisoning Attacks
Tianyue Chu, Álvaro García-Recuero, Costas Iordanou, Georgios Smaragdakis, Nikolaos Laoutaris
Usenix Network and Distributed System Security Symposium. San Diego, California. February 2023
Measuring the Price of Data in Commercial Data Marketplaces
Santiago Andrés, Costas Iordanou, Nikolaos Laoutaris
ACM Data Economy Workshop. Rome, Italy. November 2022
Try Before You Buy: a Practical Data Purchasing Algorithm for Real-World Data Marketplaces
Santiago Andrés, Nikolaos Laoutaris
ACM Data Economy Workshop. Rome, Italy. November 2022
Improving Epidemic Risk Maps Using Mobility Information from Mobile Network Data
Elisa Cabana, Andra Lutu, Enrique Frias-Martinez, Nikolaos Laoutaris
ACM International Conference on Advances in Geographic Information Systems. Seattle, Washington, USA. November 2022
Using mobile network data to color epidemic risk maps
Elisa Cabana, Andra Lutu, Enrique Frias-Martinez, Nikolaos Laoutaris
ACM International Conference on Advances in Geographic Information Systems. Seattle, Washington, USA. November 2022
Computing the Relative Value of Spatio-Temporal Data in Data Marketplaces
Santiago Andrés, Marius Paraschiv, Nikolaos Laoutaris
ACM International Conference on Advances in Geographic Information Systems. Seattle, Washington, USA. November 2022
A Survey of Data Marketplaces and Their Business Models
Santiago Andrés, Nikolaos Laoutaris
SIGMOD Record. Volume 51 , ACM. October 2022