Kyriakos Psarakis, George Christodoulou, Marios Fragkoulis, Asterios Katsifodimos (2025), Transactional Cloud Applications Go with the (Data)Flow.

R.N. Laigner, G.C. Christodoulou, K. Psarakis, A Katsifodimos, Yongluan Zhou (2025), Transactional Cloud Applications: Status Quo, Challenges, and Opportunities.

B. Nasrulin (2025), Trustworthy Foundations for Web3, PhD Thesis Delft University of Technology.

Caspar Meijer, Jiyue Huang, Shreshtha Sharma, Elena Lazovik, Lydia Y. Chen (2025), TS-Inverse: A Gradient Inversion Attack Tailored for Federated Time Series Forecasting Models, In Proceedings - 2025 IEEE Conference on Secure and Trustworthy Machine Learning, SaTML 2025 p.110-124.

A. Shankar, Yiyu Chen, Jérémie Decouchant, Dimitra Gkorou, Satej Khedekar (2025), Vertically federated training of a machine learning model used by different participants for configuring a semiconductor manufacturing process.

Ping Wang, Chengpu Yu, Maolong Lv, Zilong Zhao (2024), Adaptive Prescribed-Time Neural Control of Nonlinear Systems via Dynamic Surface Technique, In IEEE Transactions on Artificial Intelligence Volume 5.

Q.A. Stokkink, J.A. Pouwelse (2024), A Local-First Approach for Green Smart Contracts, In Distributed Ledger Technologies: Research and Practice Volume 3.

Vahid Heidaripour Lakhani, Arman Babaei, Leander Jehl, Georgy Ishmaev, Vero Estrada-Galinanes (2024), Altruism, reciprocity, and tokens to reward forwarding data: Is that fair?, In 2024 IEEE International Conference on Blockchain and Cryptocurrency, ICBC 2024 p.406-415.

Ziyu Li, Wenbo Sun, Danning Zhan, Yan Kang, Lydia Chen, Alessandro Bozzon, Rihan Hai (2024), Amalur: The Convergence of Data Integration and Machine Learning, In IEEE Transactions on Knowledge and Data Engineering Volume 36 p.7353-7367.

G. Siachamis, K. Psarakis, M. Fragkoulis, A. van Deursen, Paris Carbone, A Katsifodimos (2024), CheckMate: Evaluating Checkpointing Protocols for Streaming Dataflows.