Publications associées à Stochastic distributed learning with gradient quantization and double-variance reduction

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Efficient Continual Finite-Sum Minimization

Volkan Cevher, Efstratios Panteleimon Skoulakis, Leello Tadesse Dadi

Given a sequence of functions

f_1,\ldots,f_n

with

f_i:\mathcal{D}\mapsto \mathbb{R}

, finite-sum minimization seeks a point

{x}^\star \in \mathcal{D}

minimizing

\sum_{j=1}^nf_j(x)/n

. In this work, we propose a key twist into the finite-sum minimizat ...

2024

Stochastic distributed learning with gradient quantization and double-variance reduction

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Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

Efficient Continual Finite-Sum Minimization

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Perturbed Utility Stochastic Traffic Assignment

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Federated learning with uncertainty-based client clustering for fleet-wide fault diagnosis

Efficient Continual Finite-Sum Minimization

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Perturbed Utility Stochastic Traffic Assignment

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Non-parametric IQC Multipliers in Data-Driven Robust Controller Synthesis

WILD SOLUTIONS TO SCALAR EULER-LAGRANGE EQUATIONS

Federated learning with uncertainty-based client clustering for fleet-wide fault diagnosis

Functional-Basis Analysis of Non-Stationary Signals in Modern Power Grids: Theory and Implementation in Embedded Systems

On the number of regions of piecewise linear neural networks