publications
complete list on google scholar.
2025
on the effects of similarity metrics in decentralized deep learning under distributional shift e. listo zec, t. hagander, e. ihre-thomason, s. girdzijauskas · transactions on machine learning research (tmlr) · [bibtex] 2023
concept-aware clustering for decentralized deep learning under temporal shift m. toftås, e. klefbom, e. listo zec, m. willbo, o. mogren · icml workshop on federated learning and analytics in practice · [bibtex] 2022
effgan: ensembles of fine-tuned federated gans e. ekblom, e. listo zec, o. mogren · ieee international conference on big data · [bibtex] 2022
residual value prediction using deep learning e. listo zec, o. mogren, a.c. mellquist, s. fallahi, p. algurén · ieee international conference on big data · [bibtex] 2022
adaptive expert models for personalization in federated learning m. isaksson, e. listo zec, r. cöster, d. gillblad, s. girdzijauskas · fl-ijcai'22 · [bibtex] 2021
decentralized federated learning of deep neural networks on non-iid data n. onoszko, g. karlsson, o. mogren, e. listo zec · workshop on federated learning for user privacy and data confidentiality, icml · [bibtex] 2020
specialized federated learning using a mixture of experts e. listo zec, j. martinsson, o. mogren, l.r. sütfeld, d. gillblad · arxiv preprint · [bibtex] 2020
adversarial representation learning for private speech generation d. ericsson, a. östberg, e. listo zec, j. martinsson, o. mogren · workshop on self-supervision in audio and speech, icml · [bibtex] 2019
recurrent conditional gans for time series sensor modelling e. listo zec, h. arnelid, n. mohammadiha · icml time series workshop 2017
probabilistic modelling of sensors in autonomous vehicles e. listo zec · msc thesis, chalmers university of technology 