Picture for Dimitris Papailiopoulos

Dimitris Papailiopoulos

Permutation-Based SGD: Is Random Optimal?

Add code
Feb 19, 2021
Figure 1 for Permutation-Based SGD: Is Random Optimal?
Figure 2 for Permutation-Based SGD: Is Random Optimal?
Figure 3 for Permutation-Based SGD: Is Random Optimal?
Viaarxiv icon

Accordion: Adaptive Gradient Communication via Critical Learning Regime Identification

Add code
Oct 29, 2020
Figure 1 for Accordion: Adaptive Gradient Communication via Critical Learning Regime Identification
Figure 2 for Accordion: Adaptive Gradient Communication via Critical Learning Regime Identification
Figure 3 for Accordion: Adaptive Gradient Communication via Critical Learning Regime Identification
Figure 4 for Accordion: Adaptive Gradient Communication via Critical Learning Regime Identification
Viaarxiv icon

Attack of the Tails: Yes, You Really Can Backdoor Federated Learning

Add code
Jul 09, 2020
Figure 1 for Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
Figure 2 for Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
Figure 3 for Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
Figure 4 for Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
Viaarxiv icon

Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization is Sufficient

Add code
Jun 14, 2020
Figure 1 for Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization is Sufficient
Figure 2 for Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization is Sufficient
Figure 3 for Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization is Sufficient
Figure 4 for Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization is Sufficient
Viaarxiv icon

Closing the convergence gap of SGD without replacement

Add code
Mar 05, 2020
Figure 1 for Closing the convergence gap of SGD without replacement
Figure 2 for Closing the convergence gap of SGD without replacement
Figure 3 for Closing the convergence gap of SGD without replacement
Figure 4 for Closing the convergence gap of SGD without replacement
Viaarxiv icon

Federated Learning with Matched Averaging

Add code
Feb 15, 2020
Figure 1 for Federated Learning with Matched Averaging
Figure 2 for Federated Learning with Matched Averaging
Figure 3 for Federated Learning with Matched Averaging
Figure 4 for Federated Learning with Matched Averaging
Viaarxiv icon

DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation

Add code
Jul 29, 2019
Figure 1 for DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation
Figure 2 for DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation
Figure 3 for DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation
Figure 4 for DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation
Viaarxiv icon

Bad Global Minima Exist and SGD Can Reach Them

Add code
Jun 06, 2019
Figure 1 for Bad Global Minima Exist and SGD Can Reach Them
Figure 2 for Bad Global Minima Exist and SGD Can Reach Them
Figure 3 for Bad Global Minima Exist and SGD Can Reach Them
Figure 4 for Bad Global Minima Exist and SGD Can Reach Them
Viaarxiv icon

Convergence and Margin of Adversarial Training on Separable Data

Add code
May 22, 2019
Figure 1 for Convergence and Margin of Adversarial Training on Separable Data
Figure 2 for Convergence and Margin of Adversarial Training on Separable Data
Figure 3 for Convergence and Margin of Adversarial Training on Separable Data
Figure 4 for Convergence and Margin of Adversarial Training on Separable Data
Viaarxiv icon

Does Data Augmentation Lead to Positive Margin?

Add code
May 08, 2019
Figure 1 for Does Data Augmentation Lead to Positive Margin?
Figure 2 for Does Data Augmentation Lead to Positive Margin?
Figure 3 for Does Data Augmentation Lead to Positive Margin?
Figure 4 for Does Data Augmentation Lead to Positive Margin?
Viaarxiv icon