2 citations · 3 across the 4 of their papers we have counts for
4 papers
FAVANO: Federated AVeraging with Asynchronous NOdes
Louis Leconte, Van Minh Nguyen, Eric Moulines
In this paper, we propose a novel centralized Asynchronous Federated Learning (FL) framework, FAVANO, for training Deep Neural Networks (DNNs) in resource-constrained environments.…
AskewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks
Louis Leconte, Sholom Schechtman, Eric Moulines
In this paper, we develop a new algorithm, Annealed Skewed SGD - AskewSGD - for training deep neural networks (DNNs) with quantized weights. First, we formulate the training of qua…
Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous Distributed Learning
Eugene Belilovsky, Louis Leconte, Lucas Caccia +2
A commonly cited inefficiency of neural network training using back-propagation is the update locking problem: each layer must wait for the signal to propagate through the full net…
Interferometric Graph Transform for Community Labeling
Nathan Grinsztajn, Louis Leconte, Philippe Preux +1
We present a new approach for learning unsupervised node representations in community graphs. We significantly extend the Interferometric Graph Transform (IGT) to community labelin…