Publications

Works published thanks to the ADONIS project.

2023

  1. DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization
    Adel Nabli, and Edouard Oyallon
    In Proceedings of the 40th International Conference on Machine Learning, 2023
  2. Can Forward Gradient match Backpropagation?
    Louis Fournier, Stéphane Rivaud, Eugene Belilovsky, and 2 more authors
    In Proceedings of the 40th International Conference on Machine Learning, 2023
  3. A2CiD2: Accelerating Asynchronous Communication in Decentralized Deep Learning
    Adel Nabli, Eugene Belilovsky, and Edouard Oyallon
    2023
  4. Decentralized Asynchronous Optimization with DADAO allows Decoupling and Acceleration
    Adel Nabli, and Edouard Oyallon
    2023
  5. Guiding The Last Layer in Federated Learning with Pre-Trained Models
    Gwen Legate, Nicolas Bernier, Lucas Caccia, and 2 more authors
    2023

2022

  1. Gradient Masked Averaging for Federated Learning
    Irene Tenison, Sai Aravind Sreeramadas, Vaikkunth Mugunthan, and 3 more authors
    2022

2021

  1. DoStoVoQ: Doubly Stochastic Voronoi Vector Quantization SGD for Federated Learning
    Louis Leconte, Aymeric Dieuleveut, Edouard Oyallon, and 2 more authors
    2021
  2. Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous Distributed Learning
    Eugene Belilovsky, Louis Leconte, Lucas Caccia, and 2 more authors
    2021