2 papers
cs.LG2022
EFFGAN: Ensembles of fine-tuned federated GANs
Ebba Ekblom, Edvin Listo Zec, Olof Mogren
Generative adversarial networks have proven to be a powerful tool for learning complex and high-dimensional data distributions, but issues such as mode collapse have been shown to…
cs.LG2022
Decentralized adaptive clustering of deep nets is beneficial for client collaboration
Edvin Listo Zec, Ebba Ekblom, Martin Willbo +2
We study the problem of training personalized deep learning models in a decentralized peer-to-peer setting, focusing on the setting where data distributions differ between the clie…