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ORCIDAhmed Khaled 0001
Person information
- affiliation: Princeton University, NJ, USA
- affiliation (former): Cairo University, Egypt
Other persons with the same name
- Ahmed Khaled 0002 — German University in Cairo, Egypt
- Ahmed Khaled 0003 — Chongqing University, China (and 1 more)
- Ahmed Khaled 0004
![[0000-0002-6078-1270]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6078-1270")
— Si-Ware Systems, Heliopolis, Cairo, Egypt - Ahmed Khaled 0005 — Queens University, Department of Physics, Engineering Physics and Astronomy, Kingston, ON, Canada
- Ahmed Khaled 0006 — Al-Ain University, College of Education, Humanities and Social Sciences, UAE
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2020 – today
- 2024
[i14]Ahmed Khaled, Chi Jin:
Tuning-Free Stochastic Optimization. CoRR abs/2402.07793 (2024)- [i13]Aaron Mishkin, Ahmed Khaled, Yuanhao Wang, Aaron Defazio, Robert M. Gower:
Directional Smoothness and Gradient Methods: Convergence and Adaptivity. CoRR abs/2403.04081 (2024) - 2023
- [j2]Ahmed Khaled, Othmane Sebbouh, Nicolas Loizou, Robert M. Gower, Peter Richtárik:
Unified Analysis of Stochastic Gradient Methods for Composite Convex and Smooth Optimization. J. Optim. Theory Appl. 199(2): 499-540 (2023) - [j1]Ahmed Khaled, Peter Richtárik:
Better Theory for SGD in the Nonconvex World. Trans. Mach. Learn. Res. 2023 (2023) - [c7]Ahmed Khaled, Chi Jin:
Faster federated optimization under second-order similarity. ICLR 2023 - [c6]Ahmed Khaled, Konstantin Mishchenko, Chi Jin:
DoWG Unleashed: An Efficient Universal Parameter-Free Gradient Descent Method. NeurIPS 2023 - [i12]Ahmed Khaled, Konstantin Mishchenko, Chi Jin:
DoWG Unleashed: An Efficient Universal Parameter-Free Gradient Descent Method. CoRR abs/2305.16284 (2023) - 2022
- [c5]Elnur Gasanov, Ahmed Khaled, Samuel Horváth, Peter Richtárik:
FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning. AISTATS 2022: 11374-11421 - [c4]Konstantin Mishchenko, Ahmed Khaled, Peter Richtárik:
Proximal and Federated Random Reshuffling. ICML 2022: 15718-15749 - [i11]Abdurakhmon Sadiev, Grigory Malinovsky, Eduard Gorbunov, Igor Sokolov, Ahmed Khaled, Konstantin Burlachenko, Peter Richtárik:
Federated Optimization Algorithms with Random Reshuffling and Gradient Compression. CoRR abs/2206.07021 (2022) - [i10]Ahmed Khaled, Chi Jin:
Faster federated optimization under second-order similarity. CoRR abs/2209.02257 (2022) - 2021
- [i9]Konstantin Mishchenko, Ahmed Khaled, Peter Richtárik:
Proximal and Federated Random Reshuffling. CoRR abs/2102.06704 (2021) - [i8]Elnur Gasanov, Ahmed Khaled, Samuel Horváth, Peter Richtárik:
FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning. CoRR abs/2111.11556 (2021) - 2020
- [c3]Ahmed Khaled, Konstantin Mishchenko, Peter Richtárik:
Tighter Theory for Local SGD on Identical and Heterogeneous Data. AISTATS 2020: 4519-4529 - [c2]Konstantin Mishchenko, Ahmed Khaled, Peter Richtárik:
Random Reshuffling: Simple Analysis with Vast Improvements. NeurIPS 2020 - [c1]Ahmed Khaled, Amir F. Atiya, Ahmed H. Abdel-Gawad:
Applying fast matrix multiplication to neural networks. SAC 2020: 1034-1037 - [i7]Ahmed Khaled, Peter Richtárik:
Better Theory for SGD in the Nonconvex World. CoRR abs/2002.03329 (2020) - [i6]Konstantin Mishchenko, Ahmed Khaled, Peter Richtárik:
Random Reshuffling: Simple Analysis with Vast Improvements. CoRR abs/2006.05988 (2020) - [i5]Ahmed Khaled, Othmane Sebbouh, Nicolas Loizou, Robert M. Gower, Peter Richtárik:
Unified Analysis of Stochastic Gradient Methods for Composite Convex and Smooth Optimization. CoRR abs/2006.11573 (2020)
2010 – 2019
- 2019
- [i4]Ahmed Khaled, Konstantin Mishchenko, Peter Richtárik:
First Analysis of Local GD on Heterogeneous Data. CoRR abs/1909.04715 (2019) - [i3]Ahmed Khaled, Peter Richtárik:
Gradient Descent with Compressed Iterates. CoRR abs/1909.04716 (2019) - [i2]Ahmed Khaled, Konstantin Mishchenko, Peter Richtárik:
Better Communication Complexity for Local SGD. CoRR abs/1909.04746 (2019) - [i1]Sélim Chraibi, Ahmed Khaled, Dmitry Kovalev, Peter Richtárik, Adil Salim, Martin Takác:
Distributed Fixed Point Methods with Compressed Iterates. CoRR abs/1912.09925 (2019)
Coauthor Index
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