| Decentralized federated learning of deep neural networks on non-iid data N Onoszko, G Karlsson, O Mogren, E Listo Zec 2021 ICML Workshop on Federated Learning for User Privacy and Data …, 2021 | 36 | 2021 |
| Recurrent Conditional Generative Adversarial Networks for Autonomous Driving Sensor Modelling H Arnelid, E Listo Zec, N Mohammadiha 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 1613-1618, 2019 | 36 | 2019 |
| Statistical sensor modelling for autonomous driving using autoregressive input-output HMMs E Listo Zec, N Mohammadiha, A Schliep 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 27 | 2018 |
| Specialized federated learning using a mixture of experts E Listo Zec, O Mogren, J Martinsson, LR Sütfeld, D Gillblad arXiv preprint arXiv:2010.02056, 2020 | 25* | 2020 |
| Scaling Federated Learning for Fine-tuning of Large Language Models A Hilmkil, S Callh, M Barbieri, LR Sütfeld, E Listo Zec, O Mogren International Conference on Applications of Natural Language to Information …, 2021 | 24 | 2021 |
| Financing solutions for circular business models: Exploring the role of business ecosystems and artificial intelligence S Fallahi, AC Mellquist, O Mogren, E Listo Zec, P Algurén, L Hallquist Business Strategy and the Environment 32 (6), 3233-3248, 2023 | 16 | 2023 |
| Adversarial representation learning for private speech generation D Ericsson, A Östberg, E Listo Zec, J Martinsson, O Mogren 2020 ICML workshop on Self-supervision in Audio and Speech, 2020 | 16 | 2020 |
| Recurrent Conditional GANs for Time Series Sensor Modelling E Listo Zec, H Arnelid, N Mohammadiha 2019 ICML Time Series Workshop, 2019 | 14* | 2019 |
| Adversarial representation learning for synthetic replacement of private attributes J Martinsson, E Listo Zec, D Gillblad, O Mogren 2021 IEEE International Conference on Big Data (Big Data), 1291-1299, 2020 | 11 | 2020 |
| Decentralized adaptive clustering of deep nets is beneficial for client collaboration EL Zec, E Ekblom, M Willbo, O Mogren, S Girdzijauskas International Workshop on Trustworthy Federated Learning, 59-71, 2022 | 5 | 2022 |
| Adaptive Expert Models for Federated Learning M Isaksson, E Listo Zec, R Cöster, D Gillblad, S Girdzijauskas International Workshop on Trustworthy Federated Learning, 1-16, 2022 | 3* | 2022 |
| EFFGAN: Ensembles of fine-tuned federated GANs E Ekblom, E Listo Zec, O Mogren 2022 IEEE International Conference on Big Data (Big Data), 884-892, 2022 | 2 | 2022 |
| Financing Solutions in Future Circular Business Ecosystems S Fallahi, AC Mellquist, O Mogren, E Listo Zec, P Algurén | 2 | 2021 |
| Federated learning for performance prediction in multi-operator environments X Lan, J Taghia, F Moradi, MA Khoshkholghi, E Listo Zec, O Mogren, ... ITU Journal on Future and Evolving Technologies, 2023 | 1 | 2023 |
| Impacts of Color and Texture Distortions on Earth Observation Data in Deep Learning M Willbo, A Pirinen, J Martinsson, E Listo Zec, O Mogren, M Nilsson arXiv preprint arXiv:2403.04385, 2024 | | 2024 |
| Efficient Node Selection in Private Personalized Decentralized Learning E Listo Zec, J Östman, O Mogren, D Gillblad Northern Lights Deep Learning Conference, 244-250, 2024 | | 2024 |
| Concept-aware clustering for decentralized deep learning under temporal shift E Listo Zec, E Klefbom, M Toftås, MJ Willbo, O Mogren ICML'23: Federated Learning and Analytics in Practice: Algorithms, Systems …, 2023 | | 2023 |
| Residual value prediction using deep learning E Listo Zec, O Mogren, AC Mellquist, S Fallahi, P Algurén 2022 IEEE International Conference on Big Data (Big Data), 4560-4567, 2022 | | 2022 |
| Grammatical gender in Swedish is predictable using recurrent neural networks E Listo Zec, O Mogren Proceedings of the 15th Swecog Conference, 2019 | | 2019 |
| Probabilistic Modelling of Sensors in Autonomous Vehicles E Listo Zec Chalmers University of Technology, 2017 | | 2017 |
Olof MogrenRISE Research institutes of SwedenVerified email at ri.se
