ePHoRt: Towards a Reference Architecture for Tele-Rehabilitation Systems. - Jorge Luis Pérez-Medina; Karina Beatriz Jimenes Vargas; Louis Leconte; Santiago Villarreal; Yves Rybarczyk; Jean Vanderdonckt (IEEE Access, 2019)

Interferometric Graph Transform for Community Labeling. - Nathan Grinsztajn; Louis Leconte; Philippe Preux; Edouard Oyallon (CoRR, 2021)

Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous Distributed Learning. - Eugene Belilovsky; Louis Leconte; Lucas Caccia; Michael Eickenberg; Edouard Oyallon (CoRR, 2021)

ASkewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks. - Louis Leconte; Sholom Schechtman; Eric Moulines (AISTATS, 2023)

Federated Boolean Neural Networks Learning. - Louis Leconte; Van Minh Nguyen; Eric Moulines (FMEC, 2023)

FAVAS: Federated AVeraging with ASynchronous clients. - Louis Leconte; Van Minh Nguyen; Eric Moulines (CoRR, 2023)

Queuing dynamics of asynchronous Federated Learning. - Louis Leconte; Matthieu Jonckheere; Sergey Samsonov; Eric Moulines (AISTATS, 2024)

FAVANO: Federated Averaging with Asynchronous Nodes. - Louis Leconte; Van Minh Nguyen; Eric Moulines (ICASSP, 2024)

BOLD: Boolean Logic Deep Learning. - Van Minh Nguyen; Cristian Ocampo-Blandon; Aymen Askri; Louis Leconte; Ba-Hien Tran (NeurIPS, 2024)

Boolean Logic as an Error feedback mechanism. - Louis Leconte (CoRR, 2024)

ReALLM: A general framework for LLM compression and fine-tuning. - Louis Leconte; Lisa Bedin; Van Minh Nguyen; Eric Moulines (CoRR, 2024)

Compression and federated learning: an approach to frugal machine learning. (Compression et apprentissage fédéré: une approche pour l'apprentissage machine frugal). - Louis Leconte (2024)