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 | 55 | 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 | 44 | 2019 |
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 | 38 | 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 | 32 | 2023 |
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 | 31* | 2020 |
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 |
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 | 12 | 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 | 10 | 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 | 8 | 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 | 7* | 2022 |
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 | 4 | 2023 |
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 | 3 | 2024 |
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 | 2 | 2024 |
Financing Solutions in Future Circular Business Ecosystems S Fallahi, AC Mellquist, O Mogren, E Listo Zec, P Algurén | 2 | 2021 |
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 | 1 | 2022 |
Overcoming label shift in targeted federated learning E Listo Zec, A Breitholtz, FD Johansson arXiv preprint arXiv:2411.03799, 2024 | | 2024 |
On the effects of similarity metrics in decentralized deep learning under distributional shift E Listo Zec, T Hagander, E Ihre-Thomason, S Girdzijauskas arXiv preprint arXiv:2409.10720, 2024 | | 2024 |
Concept-aware clustering for decentralized deep learning under temporal shift E Listo Zec, E Klefbom, M Toftås, MJ Willbo, O Mogren Federated Learning and Analytics in Practice: Algorithms, Systems …, 2023 | | 2023 |