Ahmed Khaled

Ashok Cutkosky

CoRR, 2024

Directional Smoothness and Gradient Methods: Convergence and Adaptivity.

[BibT_eX]

[DOI]

CoRR, 2024

Tuning-Free Stochastic Optimization.

[BibT_eX]

[DOI]

Chi Jin

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

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

[BibT_eX]

[DOI]

J. Optim. Theory Appl., November, 2023

Better Theory for SGD in the Nonconvex World.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

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

[BibT_eX]

[DOI]

Chi Jin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Faster federated optimization under second-order similarity.

[BibT_eX]

[DOI]

Chi Jin

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Federated Optimization Algorithms with Random Reshuffling and Gradient Compression.

[BibT_eX]

[DOI]

Konstantin Burlachenko

CoRR, 2022

Proximal and Federated Random Reshuffling.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

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

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2020

Applying fast matrix multiplication to neural networks.

[BibT_eX]

[DOI]

Amir F. Atiya

Ahmed H. Abdel-Gawad

Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Random Reshuffling: Simple Analysis with Vast Improvements.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Tighter Theory for Local SGD on Identical and Heterogeneous Data.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Distributed Fixed Point Methods with Compressed Iterates.

[BibT_eX]

[DOI]

CoRR, 2019

Better Communication Complexity for Local SGD.

[BibT_eX]

[DOI]

CoRR, 2019

Gradient Descent with Compressed Iterates.

[BibT_eX]

[DOI]

CoRR, 2019

First Analysis of Local GD on Heterogeneous Data.

[BibT_eX]

[DOI]