Ahmed Khaled
10 papers · 2020–2024 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(17)
🐣
Hot Topic Early Bird
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(10)
Optimization & Theory · Machine Learning
(10)
Mathematics & Optimization
(4)
Optimization
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Learning Paradigms · Machine Learning
(3)
Learning Paradigms · Artificial Intelligence
(3)
Optimization & Theory · Deep Learning
(3)
Application Areas
(2)
Learning Types
(1)
Keywords
stochastic gradient descent
(4)
convex optimization
(4)
federated learning
(4)
variance reduction
(3)
random reshuffling
(3)
communication complexity
(2)
gradient descent
(2)
non-convex optimization
(2)
communication efficiency
(2)
convergence rate
(2)
strong convexity
(1)
strongly convex
(1)
distributed learning
(1)
step size adaptation
(1)
gradient compression
(1)
neural network optimization
(1)
proximal operator
(1)
distributed training
(1)
distributed optimization
(1)
deep learning
(1)
Papers
Directional Smoothness and Gradient Methods: Convergence and Adaptivity
NeurIPS 2024
Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences
NeurIPS 2024
The Road Less Scheduled
NeurIPS 2024
Tuning-Free Stochastic Optimization
ICML 2024
DoWG Unleashed: An Efficient Universal Parameter-Free Gradient Descent Method
NeurIPS 2023
Faster federated optimization under second-order similarity
ICLR 2023
FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning
AISTATS 2022
Proximal and Federated Random Reshuffling
ICML 2022
Random Reshuffling: Simple Analysis with Vast Improvements
NeurIPS 2020
Tighter Theory for Local SGD on Identical and Heterogeneous Data
AISTATS 2020