Statistical Sensor Modelling for Autonomous Driving Using Autoregressive Input-Output HMMs. - Edvin Listo Zec; Nasser Mohammadiha; Alexander Schliep (ITSC, 2018)

Recurrent Conditional Generative Adversarial Networks for Autonomous Driving Sensor Modelling. - Henrik Arnelid; Edvin Listo Zec; Nasser Mohammadiha (ITSC, 2019)

Adversarial representation learning for private speech generation. - David Ericsson; Adam Östberg; Edvin Listo Zec; John Martinsson; Olof Mogren (CoRR, 2020)

Federated learning using a mixture of experts. - Edvin Listo Zec; Olof Mogren; John Martinsson; Leon René Sütfeld; Daniel Gillblad (CoRR, 2020)

Adversarial representation learning for synthetic replacement of private attributes. - John Martinsson; Edvin Listo Zec; Daniel Gillblad; Olof Mogren (IEEE BigData, 2021)

Scaling Federated Learning for Fine-Tuning of Large Language Models. - Agrin Hilmkil; Sebastian Callh; Matteo Barbieri; Leon René Sütfeld; Edvin Listo Zec; Olof Mogren (NLDB, 2021)

Decentralized federated learning of deep neural networks on non-iid data. - Noa Onoszko; Gustav Karlsson; Olof Mogren; Edvin Listo Zec (CoRR, 2021)

EFFGAN: Ensembles of fine-tuned federated GANs. - Ebba Ekblom; Edvin Listo Zec; Olof Mogren (IEEE Big Data, 2022)

Residual value prediction using deep learning. - Edvin Listo Zec; Olof Mogren; Ann-Charlotte Mellquist; Sarah Fallahi; Peter Algurén (IEEE Big Data, 2022)

Adaptive Expert Models for Federated Learning. - Martin Isaksson; Edvin Listo Zec; Rickard Cöster; Daniel Gillblad; Sarunas Girdzijauskas (FL@IJCAI, 2022)

Decentralized Adaptive Clustering of Deep Nets is Beneficial for Client Collaboration. - Edvin Listo Zec; Ebba Ekblom; Martin Willbo; Olof Mogren; Sarunas Girdzijauskas (FL@IJCAI, 2022)

Adaptive Expert Models for Personalization in Federated Learning. - Martin Isaksson; Edvin Listo Zec; Rickard Cöster; Daniel Gillblad; Sarunas Girdzijauskas (CoRR, 2022)

Private Node Selection in Personalized Decentralized Learning. - Edvin Listo Zec; Johan Östman; Olof Mogren; Daniel Gillblad (CoRR, 2023)

Grammatical gender in Swedish is predictable using recurrent neural networks. - Edvin Listo Zec; Olof Mogren (CoRR, 2023)

Concept-aware clustering for decentralized deep learning under temporal shift. - Marcus Toftås; Emilie Klefbom; Edvin Listo Zec; Martin Willbo; Olof Mogren (CoRR, 2023)

Efficient Node Selection in Private Personalized Decentralized Learning. - Edvin Listo Zec; Johan Östman; Olof Mogren; Daniel Gillblad (NLDL, 2024)

Impacts of Color and Texture Distortions on Earth Observation Data in Deep Learning. - Martin Willbo; Aleksis Pirinen; John Martinsson; Edvin Listo Zec; Olof Mogren; Mikael Nilsson (CoRR, 2024)

On the effects of similarity metrics in decentralized deep learning under distributional shift. - Edvin Listo Zec; Tom Hagander; Eric Ihre-Thomason; Sarunas Girdzijauskas (CoRR, 2024)

Overcoming label shift in targeted federated learning. - Edvin Listo Zec; Adam Breitholtz; Fredrik D. Johansson (CoRR, 2024)

On the effects of similarity metrics in decentralized deep learning under distribution shift. - Edvin Listo Zec; Tom Hagander; Eric Ihre-Thomason; Sarunas Girdzijauskas (Trans. Mach. Learn. Res., 2025)

Decentralized deep learning in statistically heterogeneous environments - Edvin Listo Zec (2025)