Ahmed Khaled

Cairo University

H-index: 11

Africa-Egypt

About Ahmed Khaled

Ahmed Khaled, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Cairo University, specializes in the field of Optimization, Federated Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Directional Smoothness and Gradient Methods: Convergence and Adaptivity

Tuning-Free Stochastic Optimization

A novel analysis of gradient descent under directional smoothness

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

Federated optimization algorithms with random reshuffling and gradient compression

Faster federated optimization under second-order similarity

Proximal and federated random reshuffling

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

Ahmed Khaled Information

University	Cairo University
Position	___
Citations(all)	951
Citations(since 2020)	950
Cited By	156
hIndex(all)	11
hIndex(since 2020)	11
i10Index(all)	11
i10Index(since 2020)	11
Email	Access Email
University Profile Page	Cairo University
Google Scholar	View Google Scholar Profile

Ahmed Khaled Skills & Research Interests

Optimization

Federated Learning

Top articles of Ahmed Khaled

Title	Journal	Author(s)	Publication Date
Directional Smoothness and Gradient Methods: Convergence and Adaptivity	arXiv preprint arXiv:2403.04081	Aaron Mishkin Ahmed Khaled Yuanhao Wang Aaron Defazio Robert M Gower	2024/3/6
Tuning-Free Stochastic Optimization	arXiv preprint arXiv:2402.07793	Ahmed Khaled Chi Jin	2024/2/12
A novel analysis of gradient descent under directional smoothness		Aaron Mishkin Ahmed Khaled Aaron Defazio Robert M Gower	2023/12/13
DoWG Unleashed: An Efficient Universal Parameter-Free Gradient Descent Method	NeurIPS 2023	Ahmed Khaled Konstantin Mishchenko Chi Jin	2023/5/25
Federated optimization algorithms with random reshuffling and gradient compression	arXiv preprint arXiv:2206.07021	Abdurakhmon Sadiev Grigory Malinovsky Eduard Gorbunov Igor Sokolov Ahmed Khaled ...	2022/6/14
Faster federated optimization under second-order similarity	ICLR 2023	Ahmed Khaled Chi Jin	2022/9/6
Proximal and federated random reshuffling		Konstantin Mishchenko Ahmed Khaled Peter Richtárik	2022/6/28
FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning	AISTATS 2022 (arXiv:2111.11556)	Elnur Gasanov Ahmed Khaled Samuel Horváth Peter Richtárik	2021/11/22
Better theory for SGD in the nonconvex world	TMLR	Ahmed Khaled Peter Richtárik	2020/2/9
Tighter Theory for Local SGD on Identical and Heterogeneous Data		Ahmed Khaled Konstantin Mishchenko Peter Richtárik	2020/1/21
Unified Analysis of Stochastic Gradient Methods for Composite Convex and Smooth Optimization	Journal of Optimization Theory and Applications	Ahmed Khaled Othmane Sebbouh Nicolas Loizou Robert M Gower Peter Richtárik	2023/11
Random Reshuffling: Simple Analysis with Vast Improvements	Advances in Neural Information Processing Systems 33	Konstantin Mishchenko Ahmed Khaled Peter Richtárik	2020/6/10
Applying fast matrix multiplication to neural networks		Ahmed Khaled Amir F Atiya Ahmed H Abdel-Gawad	2020/3/30