Edvin Listo Zec

26 papers B 2C 1Journal 16Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	—	`—`	Decentralized deep learning in statistically heterogeneous environments Edvin Listo Zec
2025	J	`jnl`	Federated Learning with Heterogeneous and Private Label Sets. CoRR Adam Breitholtz, Edvin Listo Zec, Fredrik D. Johansson
2025	J	`jnl`	On the effects of similarity metrics in decentralized deep learning under distribution shift. Trans. Mach. Learn. Res. Edvin Listo Zec, Tom Hagander, Eric Ihre-Thomason, Sarunas Girdzijauskas
2024	—	`conf`	Efficient Node Selection in Private Personalized Decentralized Learning. NLDL Edvin Listo Zec, Johan Östman, Olof Mogren, Daniel Gillblad
2024	J	`jnl`	Impacts of Color and Texture Distortions on Earth Observation Data in Deep Learning. CoRR Martin Willbo, Aleksis Pirinen, John Martinsson, Edvin Listo Zec, Olof Mogren, Mikael Nilsson
2024	J	`jnl`	On the effects of similarity metrics in decentralized deep learning under distributional shift. CoRR Edvin Listo Zec, Tom Hagander, Eric Ihre-Thomason, Sarunas Girdzijauskas
2024	J	`jnl`	Overcoming label shift in targeted federated learning. CoRR Edvin Listo Zec, Adam Breitholtz, Fredrik D. Johansson
2023	J	`jnl`	Concept-aware clustering for decentralized deep learning under temporal shift. CoRR Marcus Toftås, Emilie Klefbom, Edvin Listo Zec, Martin Willbo, Olof Mogren
2023	J	`jnl`	Grammatical gender in Swedish is predictable using recurrent neural networks. CoRR Edvin Listo Zec, Olof Mogren
2023	J	`jnl`	Private Node Selection in Personalized Decentralized Learning. CoRR Edvin Listo Zec, Johan Östman, Olof Mogren, Daniel Gillblad
2022	—	`conf`	Adaptive Expert Models for Federated Learning. FL@IJCAI Martin Isaksson, Edvin Listo Zec, Rickard Cöster, Daniel Gillblad, Sarunas Girdzijauskas
2022	J	`jnl`	Adaptive Expert Models for Personalization in Federated Learning. CoRR Martin Isaksson, Edvin Listo Zec, Rickard Cöster, Daniel Gillblad, Sarunas Girdzijauskas
2022	—	`conf`	Decentralized Adaptive Clustering of Deep Nets is Beneficial for Client Collaboration. FL@IJCAI Edvin Listo Zec, Ebba Ekblom, Martin Willbo, Olof Mogren, Sarunas Girdzijauskas
2022	J	`jnl`	Decentralized adaptive clustering of deep nets is beneficial for client collaboration. CoRR Edvin Listo Zec, Ebba Ekblom, Martin Willbo, Olof Mogren, Sarunas Girdzijauskas
2022	B	`conf`	EFFGAN: Ensembles of fine-tuned federated GANs. IEEE Big Data Ebba Ekblom, Edvin Listo Zec, Olof Mogren
2022	J	`jnl`	EFFGAN: Ensembles of fine-tuned federated GANs. CoRR Ebba Ekblom, Edvin Listo Zec, Olof Mogren
2022	B	`conf`	Residual value prediction using deep learning. IEEE Big Data Edvin Listo Zec, Olof Mogren, Ann-Charlotte Mellquist, Sarah Fallahi, Peter Algurén
2021	—	`conf`	Adversarial representation learning for synthetic replacement of private attributes. IEEE BigData John Martinsson, Edvin Listo Zec, Daniel Gillblad, Olof Mogren
2021	J	`jnl`	Decentralized federated learning of deep neural networks on non-iid data. CoRR Noa Onoszko, Gustav Karlsson, Olof Mogren, Edvin Listo Zec
2021	C	`conf`	Scaling Federated Learning for Fine-Tuning of Large Language Models. NLDB Agrin Hilmkil, Sebastian Callh, Matteo Barbieri, Leon René Sütfeld, Edvin Listo Zec, Olof Mogren
2021	J	`jnl`	Scaling Federated Learning for Fine-tuning of Large Language Models. CoRR Agrin Hilmkil, Sebastian Callh, Matteo Barbieri, Leon René Sütfeld, Edvin Listo Zec, Olof Mogren
2020	J	`jnl`	Adversarial representation learning for private speech generation. CoRR David Ericsson, Adam Östberg, Edvin Listo Zec, John Martinsson, Olof Mogren
2020	J	`jnl`	Adversarial representation learning for synthetic replacement of private attributes. CoRR John Martinsson, Edvin Listo Zec, Daniel Gillblad, Olof Mogren
2020	J	`jnl`	Federated learning using a mixture of experts. CoRR Edvin Listo Zec, Olof Mogren, John Martinsson, Leon René Sütfeld, Daniel Gillblad
2019	—	`conf`	Recurrent Conditional Generative Adversarial Networks for Autonomous Driving Sensor Modelling. ITSC Henrik Arnelid, Edvin Listo Zec, Nasser Mohammadiha
2018	—	`conf`	Statistical Sensor Modelling for Autonomous Driving Using Autoregressive Input-Output HMMs. ITSC Edvin Listo Zec, Nasser Mohammadiha, Alexander Schliep