Global Convergence of Federated Learning for Mixed Regression

Global Convergence of Federated Learning for Mixed Regression

15 June 2022

Lili Su

Jiaming Xu

Pengkun Yang

Papers citing "Global Convergence of Federated Learning for Mixed Regression"

5 / 5 papers shown

Title
Learning with Shared Representations: Statistical Rates and Efficient Algorithms Xiaochun Niu Lili Su Jiaming Xu Pengkun Yang FedML 21 2 0 07 Sep 2024
On the Convergence of a Federated Expectation-Maximization Algorithm Zhixu Tao Rajita Chandak Sanjeev R. Kulkarni FedML 25 0 0 11 Aug 2024
Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms Ye Tian Haolei Weng Yang Feng 19 3 0 23 Oct 2023
Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity Han Wang A. Mitra Hamed Hassani George J. Pappas James Anderson FedML 11 21 0 04 Feb 2023
Federated Learning on Non-IID Data Silos: An Experimental Study Q. Li Yiqun Diao Quan Chen Bingsheng He FedML OOD 85 936 0 03 Feb 2021