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09/19/2023
Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation
We consider the problem of learning a model from multiple heterogeneous ...
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02/23/2023
On the Hardness of Robustness Transfer: A Perspective from Rademacher Complexity over Symmetric Difference Hypothesis Space
Recent studies demonstrated that the adversarially robust learning under...
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10/17/2022
Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems
Despite the established convergence theory of Optimistic Gradient Descen...
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07/22/2021
Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time
In this paper we prove that Local (S)GD (or FedAvg) can optimize two-lay...
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02/25/2021
Local Stochastic Gradient Descent Ascent: Convergence Analysis and Communication Efficiency
Local SGD is a promising approach to overcome the communication overhead...
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02/25/2021
Distributionally Robust Federated Averaging
In this paper, we study communication efficient distributed algorithms f...
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03/30/2020