Marco Canini

1. BOŽIČ, Janez. Design and implementation of a heterogeneous federated learning testbed : master's thesis : the 2nd cycle master's study programme Computer and Information Science. Ljubljana: [J. Božič], 2024. 1 spletni vir (1 datoteka PDF (X, 85 str.)), ilustr. Repository of the University of Ljubljana – RUL . [COBISS.SI-ID 217165315]

2. RADOVIČ, Boris, ALJAHDALI, Mohammed, CANINI, Marco, PEJOVIĆ, Veljko, KHAYYAT, Zuhair. Train your cake and eat it too! Repurposing collaborative training to tailor LLMs to private data without sharing. In: Workshop on Efficient Systems for Foundation Models II : ES-FoMo-II 2024 : ICML 2024 Workshop : Vienna, Austria, Jul 26 2024. [Massachusetts: OpenReview, 2024]. Str. 1-10, ilustr. https://openreview.net/forum?id=FGupKd365r, Repository of the University of Ljubljana – RUL . [COBISS.SI-ID 221660675]

3. BOŽIČ, Janez, FAUSTINO, Amândio R., RADOVIČ, Boris, CANINI, Marco, PEJOVIĆ, Veljko. Where is the testbed for my federated learning research?. In: SEC 2024 : 2024 IEEE/ACM Symposium on Edge Computing : 4-7 December 2024, Rome, Italy : proceedings. Los Alamitos (CA); Washington; Tokyo: IEEE Computer Society, cop. 2024. Str. 249-264, ilustr. ISBN 979-8-3503-7828-3. https://ieeexplore.ieee.org/document/10818080, DOI: 10.1109/SEC62691.2024.00027. [COBISS.SI-ID 221485315]

4. RADOVIČ, Boris, CANINI, Marco, PEJOVIĆ, Veljko. Review and comparative evaluation of resource-adaptive collaborative training for heterogeneous edge devices. ACM transactions on modeling and performance evaluation of computing systems. Mar. 2025, vol. 10, no. 1, article no. 4, str. 1-35, ilustr. ISSN 2376-3639. https://dl.acm.org/doi/10.1145/3708983, Repository of the University of Ljubljana – RUL , DOI: 10.1145/3708983. [COBISS.SI-ID 221443843]

5. RADOVIČ, Boris, CANINI, Marco, HORVÁTH, Samuel, PEJOVIĆ, Veljko, VEPAKOMMA, Praneeth. Towards a unified framework for split learning. In: EuroMLSys '25 : the 5th Workshop on Machine Learning and Systems : March 30-April 3, 2025, Rotterdam, Netherlands : proceedings of the 2025. New York (NY): Association for Computing Machinery, cop. 2025. Str. 183-191, ilustr. ISBN 979-8-4007-1538-9. https://dl.acm.org/doi/10.1145/3721146.3721936, Repository of the University of Ljubljana – RUL , DOI: 10.1145/3721146.3721936. [COBISS.SI-ID 231821059]

6. RADOVIČ, Boris, CANINI, Marco, PEJOVIĆ, Veljko. Label-free dataset profiling for federated client clustering. Data mining and knowledge discovery. Oct. 2026, vol. 40, iss. 5, article no. 72, str. 1-36, ilustr. ISSN 1384-5810. https://link.springer.com/article/10.1007/s10618-026-01240-9, Repository of the University of Ljubljana – RUL , DOI: 10.1007/s10618-026-01240-9. [COBISS.SI-ID 285152771]