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Yuyang Deng
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Adaptive personalized federated learning
Y Deng, MM Kamani, M Mahdavi
arXiv preprint arXiv:2003.13461, 2020
6322020
Distributionally Robust Federated Averaging
Y Deng, MM Kamani, M Mahdavi
Advances in Neural Information Processing Systems (NeurIPS), 2021
1532021
Local stochastic gradient descent ascent: Convergence analysis and communication efficiency
Y Deng, M Mahdavi
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2021
622021
Local sgd optimizes overparameterized neural networks in polynomial time
Y Deng, MM Kamani, M Mahdavi
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2022
152022
Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems
P Mahdavinia, Y Deng, H Li, M Mahdavi
Advances in Neural Information Processing Systems (NeurIPS), 2022
122022
Understanding Deep Gradient Leakage via Inversion Influence Functions
H Zhang, J Hong, Y Deng, M Mahdavi, J Zhou
Advances in Neural Information Processing Systems (NeurIPS), 2023
62023
On the hardness of robustness transfer: A perspective from Rademacher complexity over symmetric difference hypothesis space
Y Deng, N Gazagnadou, J Hong, M Mahdavi, L Lyu
arXiv preprint arXiv:2302.12351, 2023
42023
Distributed Personalized Empirical Risk Minimization
Y Deng, MM Kamani, P Mahdavinia, M Mahdavi
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023
32023
On the Generalization Ability of Unsupervised Pretraining
Y Deng, J Hong, J Zhou, M Mahdavi
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
12024
Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation
Y Deng, I Kuzborskij, M Mahdavi
Advances in Neural Information Processing Systems (NeurIPS), 2023
12023
Stochastic Compositional Minimax Optimization with Provable Convergence Guarantees
Y Deng, F Qiao, M Mahdavi
arXiv preprint arXiv:2408.12505, 2024
2024
Collaborative Learning with Different Labeling Functions
Y Deng, M Qiao
International conference on machine learning (ICML), 2024
2024
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