Decentralized deep learning requires dealing with non-iid data across
cl...
The grammatical gender of Swedish nouns is a mystery. While there are fe...
Intensifying climate change will lead to more extreme weather events,
in...
In this paper, we propose a novel approach for privacy-preserving node
s...
Generative adversarial networks have proven to be a powerful tool for
le...
We study the problem of training personalized deep learning models in a
...
We tackle the non-convex problem of learning a personalized deep learnin...
Federated learning (FL) is a promising approach to distributed compute, ...
Federated learning has received attention for its efficiency and privacy...
As more and more data is collected in various settings across organizati...
The collection of large datasets allows for advanced analytics that can ...
Generative adversarial networks have been proposed as a way of efficient...