Distributed State Feedback Control for Aeroelastic Morphing Wing Flutter Supression. - Filip Svoboda; Martin Hromcik; Kristian Hengster-Movric (MED, 2018)

Active flutter suppression by means of fixed-order H∞ control: results for the Benchmark Active Control Technology (BACT) wing. - Filip Svoboda; Martin Hromcik (ECC, 2019)

Deep learning on microcontrollers: a study on deployment costs and challenges. - Filip Svoboda; Javier Fernández-Marqués; Edgar Liberis; Nicholas D. Lane (EuroMLSys@EuroSys, 2022)

A Federated Learning Benchmark for Drug-Target Interaction. - Gianluca Mittone; Filip Svoboda; Marco Aldinucci; Nicholas D. Lane; Pietro Lió (WWW (Companion Volume), 2023)

A Federated Learning Benchmark for Drug-Target Interaction. - Filip Svoboda; Gianluca Mittone; Nicholas D. Lane; Pietro Liò (CoRR, 2023)

FDAPT: Federated Domain-adaptive Pre-training for Language Models. - Lekang Jiang; Filip Svoboda; Nicholas D. Lane (CoRR, 2023)

Attacks of fairness in Federated Learning. - Joseph Rance; Filip Svoboda (CoRR, 2023)

Space for Improvement: Navigating the Design Space for Federated Learning in Satellite Constellations. - Grace Kim; Luca Powell; Filip Svoboda; Nicholas D. Lane (CoRR, 2024)

Can Private Machine Learning Be Fair? - Joseph Rance; Filip Svoboda (AAAI, 2025)

Rapid Distributed Fine-tuning of a Segmentation Model Onboard Satellites. - Meghan Plumridge; Rasmus Maråk; Chiara Ceccobello; Pablo Gómez; Gabriele Meoni; Filip Svoboda; Nicholas D. Lane (IPAS, 2025)