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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...
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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...
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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...
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01/30/2023
Private Node Selection in Personalized Decentralized Learning
In this paper, we propose a novel approach for privacy-preserving node s...
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06/23/2022
EFFGAN: Ensembles of fine-tuned federated GANs
Generative adversarial networks have proven to be a powerful tool for le...
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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 ...
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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...
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02/01/2021
Scaling Federated Learning for Fine-tuning of Large Language Models
Federated learning (FL) is a promising approach to distributed compute, ...
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10/05/2020
Federated learning using a mixture of experts
Federated learning has received attention for its efficiency and privacy...
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06/16/2020
Adversarial representation learning for private speech generation
As more and more data is collected in various settings across organizati...
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06/14/2020
Adversarial representation learning for synthetic replacement of private attributes
The collection of large datasets allows for advanced analytics that can ...
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11/29/2016
