Olof Mogren | DeepAI

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Featured Co-authors

Johan Östman
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Aleksis Pirinen
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Daniel Gillblad
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∙ 06/22/2023

Concept-aware clustering for decentralized deep learning under temporal shift

Decentralized deep learning requires dealing with non-iid data across cl...

0 Marcus Toftås, et al. ∙

∙ 06/19/2023

Grammatical gender in Swedish is predictable using recurrent neural networks

The grammatical gender of Swedish nouns is a mystery. While there are fe...

0 Edvin Listo Zec, et al. ∙

∙ 04/04/2023

Fully Convolutional Networks for Dense Water Flow Intensity Prediction in Swedish Catchment Areas

Intensifying climate change will lead to more extreme weather events, in...

0 Aleksis Pirinen, et al. ∙

∙ 01/30/2023

Private Node Selection in Personalized Decentralized Learning

In this paper, we propose a novel approach for privacy-preserving node s...

0 Edvin Listo Zec, et al. ∙

∙ 06/23/2022

EFFGAN: Ensembles of fine-tuned federated GANs

Generative adversarial networks have proven to be a powerful tool for le...

0 Ebba Ekblom, et al. ∙

∙ 06/17/2022

Decentralized adaptive clustering of deep nets is beneficial for client collaboration

We study the problem of training personalized deep learning models in a ...

0 Edvin Listo Zec, et al. ∙

∙ 07/18/2021

Decentralized federated learning of deep neural networks on non-iid data

We tackle the non-convex problem of learning a personalized deep learnin...

0 Noa Onoszko, et al. ∙

∙ 02/01/2021

Scaling Federated Learning for Fine-tuning of Large Language Models

Federated learning (FL) is a promising approach to distributed compute, ...

0 Agrin Hilmkil, et al. ∙

∙ 10/05/2020

Federated learning using a mixture of experts

Federated learning has received attention for its efficiency and privacy...

0 Edvin Listo Zec, et al. ∙

∙ 06/16/2020

Adversarial representation learning for private speech generation

As more and more data is collected in various settings across organizati...

0 David Ericsson, et al. ∙

∙ 06/14/2020

Adversarial representation learning for synthetic replacement of private attributes

The collection of large datasets allows for advanced analytics that can ...

3 John Martinsson, et al. ∙

∙ 11/29/2016

C-RNN-GAN: Continuous recurrent neural networks with adversarial training

Generative adversarial networks have been proposed as a way of efficient...

0 Olof Mogren, et al. ∙

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