Filip Svoboda

12 papers A* 1C 1Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Bringing Federated Learning to Space.
CoRR
Grace Kim, Filip Svoboda, Nicholas D. Lane
2025 A* conf
Can Private Machine Learning Be Fair?
AAAI
Joseph Rance, Filip Svoboda
2025 C conf
Rapid Distributed Fine-tuning of a Segmentation Model Onboard Satellites.
IPAS
Meghan Plumridge, Rasmus Maråk, Chiara Ceccobello, Pablo Gómez, Gabriele Meoni, Filip Svoboda, Nicholas D. Lane
2024 J jnl
Rapid Distributed Fine-tuning of a Segmentation Model Onboard Satellites.
CoRR
Meghan Plumridge, Rasmus Maråk, Chiara Ceccobello, Pablo Gómez, Gabriele Meoni, Filip Svoboda, Nicholas D. Lane
2024 J jnl
Space for Improvement: Navigating the Design Space for Federated Learning in Satellite Constellations.
CoRR
Grace Kim, Luca Powell, Filip Svoboda, Nicholas D. Lane
2023 — conf
A Federated Learning Benchmark for Drug-Target Interaction.
WWW (Companion Volume)
Gianluca Mittone, Filip Svoboda, Marco Aldinucci, Nicholas D. Lane, Pietro Lió
2023 J jnl
A Federated Learning Benchmark for Drug-Target Interaction.
CoRR
Filip Svoboda, Gianluca Mittone, Nicholas D. Lane, Pietro Liò
2023 J jnl
Attacks of fairness in Federated Learning.
CoRR
Joseph Rance, Filip Svoboda
2023 J jnl
FDAPT: Federated Domain-adaptive Pre-training for Language Models.
CoRR
Lekang Jiang, Filip Svoboda, Nicholas D. Lane
2022 — conf
Deep learning on microcontrollers: a study on deployment costs and challenges.
EuroMLSys@EuroSys
Filip Svoboda, Javier Fernández-Marqués, Edgar Liberis, Nicholas D. Lane
2019 — conf
Active flutter suppression by means of fixed-order H∞ control: results for the Benchmark Active Control Technology (BACT) wing.
ECC
Filip Svoboda, Martin Hromcik
2018 — conf
Distributed State Feedback Control for Aeroelastic Morphing Wing Flutter Supression.
MED
Filip Svoboda, Martin Hromcik, Kristian Hengster-Movric