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07/19/2023
Near-Linear Time Projection onto the ℓ_1,∞ Ball; Application to Sparse Autoencoders
Looking for sparsity is nowadays crucial to speed up the training of lar...
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02/20/2023
TAMUNA: Accelerated Federated Learning with Local Training and Partial Participation
In federated learning, a large number of users are involved in a global ...
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10/24/2022
Provably Doubly Accelerated Federated Learning: The First Theoretically Successful Combination of Local Training and Compressed Communication
In the modern paradigm of federated learning, a large number of users ar...
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08/05/2021
Tikhonov Regularization of Circle-Valued Signals
It is common to have to process signals or images whose values are cycli...
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06/06/2021
MURANA: A Generic Framework for Stochastic Variance-Reduced Optimization
We propose a generic variance-reduced algorithm, which we call MUltiple ...
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10/07/2020
Optimal Gradient Compression for Distributed and Federated Learning
Communicating information, like gradient vectors, between computing node...
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10/02/2020
Distributed Proximal Splitting Algorithms with Rates and Acceleration
We analyze several generic proximal splitting algorithms well suited for...
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04/03/2020
Dualize, Split, Randomize: Fast Nonsmooth Optimization Algorithms
We introduce a new primal-dual algorithm for minimizing the sum of three...
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04/03/2020