Ahmed Khaled | DeepAI

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∙ 05/25/2023

DoWG Unleashed: An Efficient Universal Parameter-Free Gradient Descent Method

This paper proposes a new easy-to-implement parameter-free gradient-base...

0 Ahmed Khaled, et al. ∙

∙ 09/06/2022

Faster federated optimization under second-order similarity

Federated learning (FL) is a subfield of machine learning where multiple...

0 Ahmed Khaled, et al. ∙

∙ 11/22/2021

FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning

Federated Learning (FL) is an increasingly popular machine learning para...

14 Elnur Gasanov, et al. ∙

∙ 02/12/2021

Proximal and Federated Random Reshuffling

Random Reshuffling (RR), also known as Stochastic Gradient Descent (SGD)...

7 Konstantin Mishchenko, et al. ∙

∙ 06/20/2020

Unified Analysis of Stochastic Gradient Methods for Composite Convex and Smooth Optimization

We present a unified theorem for the convergence analysis of stochastic ...

30 Ahmed Khaled, et al. ∙

∙ 06/10/2020

Random Reshuffling: Simple Analysis with Vast Improvements

Random Reshuffling (RR) is an algorithm for minimizing finite-sum functi...

17 Konstantin Mishchenko, et al. ∙

∙ 02/09/2020

Better Theory for SGD in the Nonconvex World

Large-scale nonconvex optimization problems are ubiquitous in modern mac...

26 Ahmed Khaled, et al. ∙

∙ 12/20/2019

Distributed Fixed Point Methods with Compressed Iterates

We propose basic and natural assumptions under which iterative optimizat...

0 Sélim Chraibi, et al. ∙

∙ 09/10/2019

Better Communication Complexity for Local SGD

We revisit the local Stochastic Gradient Descent (local SGD) method and ...

0 Ahmed Khaled, et al. ∙

∙ 09/10/2019

Gradient Descent with Compressed Iterates

We propose and analyze a new type of stochastic first order method: grad...

28 Ahmed Khaled, et al. ∙

∙ 09/10/2019

First Analysis of Local GD on Heterogeneous Data

We provide the first convergence analysis of local gradient descent for ...

32 Ahmed Khaled, et al. ∙

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