Yuyang Deng

Mingda Qiao

CoRR, 2024

2023

On the Hardness of Robustness Transfer: A Perspective from Rademacher Complexity over Symmetric Difference Hypothesis Space.

[BibT_eX]

[DOI]

CoRR, 2023

Understanding Deep Gradient Leakage via Inversion Influence Functions.

[BibT_eX]

[DOI]

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

Distributed Personalized Empirical Risk Minimization.

[BibT_eX]

[DOI]

Pouria Mahdavinia

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

Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation.

[BibT_eX]

[DOI]

Ilja Kuzborskij

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

Early ChatGPT User Portrait through the Lens of Data.

[BibT_eX]

[DOI]

Ni Zhao

Xin Huang

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time.

[BibT_eX]

[DOI]

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

2021

Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time.

[BibT_eX]

[DOI]

CoRR, 2021

Local Stochastic Gradient Descent Ascent: Convergence Analysis and Communication Efficiency.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Adaptive Personalized Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Distributionally Robust Federated Averaging.

[BibT_eX]

[DOI]