Edvin Listo Zec

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Recurrent Neural Networks

Grand Challenge

Top Venues

Publications

Edvin Listo Zec, Johan Östman, Olof Mogren, Daniel Gillblad
Efficient Node Selection in Private Personalized Decentralized Learning. NLDL (2024)
Martin Willbo, Aleksis Pirinen, John Martinsson, Edvin Listo Zec, Olof Mogren, Mikael Nilsson
Impacts of Color and Texture Distortions on Earth Observation Data in Deep Learning. CoRR (2024)
Marcus Toftås, Emilie Klefbom, Edvin Listo Zec, Martin Willbo, Olof Mogren
Concept-aware clustering for decentralized deep learning under temporal shift. CoRR (2023)
Edvin Listo Zec, Johan Östman, Olof Mogren, Daniel Gillblad
Private Node Selection in Personalized Decentralized Learning. CoRR (2023)
Edvin Listo Zec, Olof Mogren
Grammatical gender in Swedish is predictable using recurrent neural networks. CoRR (2023)
Ebba Ekblom, Edvin Listo Zec, Olof Mogren
EFFGAN: Ensembles of fine-tuned federated GANs. Big Data (2022)
Edvin Listo Zec, Ebba Ekblom, Martin Willbo, Olof Mogren, Sarunas Girdzijauskas
Decentralized adaptive clustering of deep nets is beneficial for client collaboration. CoRR (2022)
Edvin Listo Zec, Ebba Ekblom, Martin Willbo, Olof Mogren, Sarunas Girdzijauskas
Decentralized Adaptive Clustering of Deep Nets is Beneficial for Client Collaboration. FL@IJCAI (2022)
Martin Isaksson, Edvin Listo Zec, Rickard Cöster, Daniel Gillblad, Sarunas Girdzijauskas
Adaptive Expert Models for Personalization in Federated Learning. CoRR (2022)
Edvin Listo Zec, Olof Mogren, Ann-Charlotte Mellquist, Sarah Fallahi, Peter Algurén
Residual value prediction using deep learning. Big Data (2022)
Martin Isaksson, Edvin Listo Zec, Rickard Cöster, Daniel Gillblad, Sarunas Girdzijauskas
Adaptive Expert Models for Federated Learning. FL@IJCAI (2022)
Ebba Ekblom, Edvin Listo Zec, Olof Mogren
EFFGAN: Ensembles of fine-tuned federated GANs. CoRR (2022)
Agrin Hilmkil, Sebastian Callh, Matteo Barbieri, Leon René Sütfeld, Edvin Listo Zec, Olof Mogren
Scaling Federated Learning for Fine-Tuning of Large Language Models. NLDB (2021)
Agrin Hilmkil, Sebastian Callh, Matteo Barbieri, Leon René Sütfeld, Edvin Listo Zec, Olof Mogren
Scaling Federated Learning for Fine-tuning of Large Language Models. CoRR (2021)
John Martinsson, Edvin Listo Zec, Daniel Gillblad, Olof Mogren
Adversarial representation learning for synthetic replacement of private attributes. IEEE BigData (2021)
Noa Onoszko, Gustav Karlsson, Olof Mogren, Edvin Listo Zec
Decentralized federated learning of deep neural networks on non-iid data. CoRR (2021)
David Ericsson, Adam Östberg, Edvin Listo Zec, John Martinsson, Olof Mogren
Adversarial representation learning for private speech generation. CoRR (2020)
John Martinsson, Edvin Listo Zec, Daniel Gillblad, Olof Mogren
Adversarial representation learning for synthetic replacement of private attributes. CoRR (2020)
Edvin Listo Zec, Olof Mogren, John Martinsson, Leon René Sütfeld, Daniel Gillblad
Federated learning using a mixture of experts. CoRR (2020)
Henrik Arnelid, Edvin Listo Zec, Nasser Mohammadiha
Recurrent Conditional Generative Adversarial Networks for Autonomous Driving Sensor Modelling. ITSC (2019)
Edvin Listo Zec, Nasser Mohammadiha, Alexander Schliep
Statistical Sensor Modelling for Autonomous Driving Using Autoregressive Input-Output HMMs. ITSC (2018)