フォロー
Ahmed Khaled
Ahmed Khaled
Princeton University
確認したメール アドレス: princeton.edu - ホームページ
タイトル
引用先
引用先
年
Tighter Theory for Local SGD on Identical and Heterogeneous Data
A Khaled, K Mishchenko, P Richtárik
AISTATS 2020 (arXiv:1909.04746), 2020
5022020
Better theory for SGD in the nonconvex world
A Khaled, P Richtárik
TMLR, 2020
2162020
First analysis of local GD on heterogeneous data
A Khaled, K Mishchenko, P Richtárik
arXiv preprint arXiv:1909.04715, 2019
1922019
Random Reshuffling: Simple Analysis with Vast Improvements
K Mishchenko, A Khaled, P Richtárik
NeurIPS 2020 (arXiv:2006.05988), 2020
1592020
Unified Analysis of Stochastic Gradient Methods for Composite Convex and Smooth Optimization
A Khaled, O Sebbouh, N Loizou, RM Gower, P Richtárik
JOTA, 2020
512020
Proximal and federated random reshuffling
K Mishchenko, A Khaled, P Richtárik
International Conference on Machine Learning, 15718-15749, 2022
472022
Better Communication Complexity for Local SGD
A Khaled, K Mishchenko, P Richtárik
arXiv preprint arXiv:1909.04746v1, 2019
332019
FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning
E Gasanov, A Khaled, S Horváth, P Richtárik
AISTATS 2022 (arXiv:2111.11556), 2021
322021
Gradient descent with compressed iterates
A Khaled, P Richtárik
arXiv preprint arXiv:1909.04716, 2019
302019
Federated optimization algorithms with random reshuffling and gradient compression
A Sadiev, G Malinovsky, E Gorbunov, I Sokolov, A Khaled, K Burlachenko, ...
arXiv preprint arXiv:2206.07021, 2022
272022
Distributed fixed point methods with compressed iterates
S Chraibi, A Khaled, D Kovalev, P Richtárik, A Salim, M Takáč
arXiv preprint arXiv:1912.09925, 2019
262019
The road less scheduled
A Defazio, XA Yang, H Mehta, K Mishchenko, A Khaled, A Cutkosky
arXiv preprint arXiv:2405.15682, 2024
222024
DoWG Unleashed: An Efficient Universal Parameter-Free Gradient Descent Method
A Khaled, K Mishchenko, C Jin
NeurIPS 2023, 2023
212023
Faster federated optimization under second-order similarity
A Khaled, C Jin
ICLR 2023, 2022
182022
Applying fast matrix multiplication to neural networks
A Khaled, AF Atiya, AH Abdel-Gawad
Proceedings of the 35th Annual ACM Symposium on Applied Computing, 1034-1037, 2020
112020
Tuning-Free Stochastic Optimization
A Khaled, C Jin
ICML 2024, 2024
72024
Directional Smoothness and Gradient Methods: Convergence and Adaptivity
A Mishkin, A Khaled, Y Wang, A Defazio, RM Gower
arXiv preprint arXiv:2403.04081, 2024
52024
A novel analysis of gradient descent under directional smoothness
A Mishkin, A Khaled, A Defazio, RM Gower
OPT 2023: Optimization for Machine Learning, 0
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論文 1–18