Scientific publications

This page summarizes the scientific publications that have been given as a result of the developments of the project.

1. Andres, Santiago; Iordanou, Costas; Laoutaris, Nikolaos. (2023) Understanding the Price of Data in Commercial Data Marketplaces. IEEE International Conference on Data Engineering. Los Angeles, California, USA. April 2023. 
2. Tianyue Chu, Alvaro Garcia-Recuero, Costas Iordanou, Georgios Smaragdakis, Nikolaos Laoutaris Securing Federated Sensitive Topic Classification against Poisoning Attacks. Network and Distributed System Security (NDSS) Symposium. 2023
3. Devriş Işler, Elisa Cabana, Álvaro Garcia-Recuero, Gieorgia Koutrika, Nikolaos Laoutaris, FreqyWM: Frequency Watermarking for the New Data Economy, accepted for publication at IEEE International Conference on Data Engineering ICDE’24
4. T. Chu, N. Laoutaris, “FedQV: Leveraging Quadratic Voting in Federated Learning,” ACM SIGMETRICS’24
5. Tianyue Chu, Mengwei Yang, Nikolaos Laoutaris & Athina Markopoulou (2023). PriPrune: Quantifying and Preserving Privacy in Pruned Federated Learning. ACM Transactions on Modeling and Performance Evaluation of Computing Systems.