Publications

• Ofeidis, I., Kiedanski, D., & Tassiulas, L. “An Overview of the Data-Loader Landscape: Comparative Performance Analysis.” To be presented at the 2024 IEEE International Conference on Big Data.

• Mudvari, A., Vainio, A., Ofeidis, I., Tarkoma, S., & Tassiulas, L. “Adaptive Compression-Aware Split Learning and Inference for Enhanced Network Efficiency” ACM Transactions on Internet Technology 2024.

• Kyriazis, A., Ofeidis, I., & Palaiokrassas, G. “Monetary Policy, Digital Assets, and DeFi Activity.” arXiv preprint arXiv:2302.10252 (2023).

• Palaiokrassas, G., Scherrers, S., Ofeidis, I., & Tassiulas, L. “Leveraging machine learning for multichain defi fraud detection.” In 2024 IEEE International Conference on Blockchain and Cryptocurrency (ICBC) (pp. 678-680). IEEE.