ML Anthology

Su, Lili

10 publications

TMLR 2025 On the Convergence Rates of Federated Q-Learning Across Heterogeneous Environments Muxing Wang, Pengkun Yang, Lili Su
NeurIPSW 2024 Collaborative Learning with Shared Linear Representations: Statistical Rates and Optimal Algorithms Xiaochun Niu, Lili Su, Jiaming Xu, Pengkun Yang
NeurIPS 2024 Efficient Federated Learning Against Heterogeneous and Non-Stationary Client Unavailability Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su
ECCV 2024 Non-Transferable Pruning Ruyi Ding, Lili Su, A. Adam Ding, Yunsi Fei
NeurIPSW 2024 On the Convergence Rates of Federated Q-Learning Across Heterogeneous Environments Muxing Wang, Pengkun Yang, Lili Su
NeurIPS 2024 Personalized Federated Learning via Feature Distribution Adaptation Connor J. McLaughlin, Lili Su
JMLR 2023 A Non-Parametric View of FedAvg and FedProx:Beyond Stationary Points Lili Su, Jiaming Xu, Pengkun Yang
NeurIPSW 2023 FedLDA: Personalized Federated Learning Through Collaborative Linear Discriminant Analysis Connor Mclaughlin, Lili Su
NeurIPS 2022 Global Convergence of Federated Learning for Mixed Regression Lili Su, Jiaming Xu, Pengkun Yang
NeurIPS 2019 On Learning Over-Parameterized Neural Networks: A Functional Approximation Perspective Lili Su, Pengkun Yang