9 citations · 9 across the 2 of their papers we have counts for
3 papers
A Mutual Information Perspective on Federated Contrastive Learning
Christos Louizos, Matthias Reisser, Denis Korzhenkov
We investigate contrastive learning in the federated setting through the lens of SimCLR and multi-view mutual information maximization. In doing so, we uncover a connection between…
Federated Mixture of Experts
Matthias Reisser, Christos Louizos, Efstratios Gavves +1
Federated learning (FL) has emerged as the predominant approach for collaborative training of neural network models across multiple users, without the need to gather the data at a…
Relaxed Quantization for Discretized Neural Networks
Christos Louizos, Matthias Reisser, Tijmen Blankevoort +2
Neural network quantization has become an important research area due to its great impact on deployment of large models on resource constrained devices. In order to train networks…