Learning Distributionally Robust Models at Scale via Composite Optimization

17 March 2022

Papers citing "Learning Distributionally Robust Models at Scale via Composite Optimization"

5 / 5 papers shown

Title
FedDRO: Federated Compositional Optimization for Distributionally Robust Learning Prashant Khanduri Chengyin Li Rafi Ibn Sultan Yao Qiang Joerg Kliewer Dongxiao Zhu 45 0 0 21 Nov 2023
Efficient Stochastic Approximation of Minimax Excess Risk Optimization Lijun Zhang Haomin Bai W. Tu Ping Yang Yao Hu 19 4 0 31 May 2023
Distributed Distributionally Robust Optimization with Non-Convex Objectives Yang Jiao Kai Yang Dongjin Song 29 11 0 14 Oct 2022
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 214 546 0 30 Mar 2020
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark Schmidt 139 1,205 0 16 Aug 2016