Towards the Theory of Unsupervised Federated Learning: Non-asymptotic
Analysis of Federated EM Algorithms

v1v2v3 (latest)

Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms

23 October 2023

ArXiv (abs)PDF HTML

Papers citing "Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms"

15 / 15 papers shown

Title
Byzantine-tolerant distributed learning of finite mixture models Qiong Zhang Jiahua Chen Jiahua Chen FedML 133 0 0 19 Jul 2024
Global Convergence of Federated Learning for Mixed Regression Lili Su Jiaming Xu Pengkun Yang FedML 65 8 0 15 Jun 2022
Adaptive and Robust Multi-Task Learning Yaqi Duan Kaizheng Wang 120 27 0 10 Feb 2022
Federated Multi-Task Learning under a Mixture of Distributions Othmane Marfoq Giovanni Neglia A. Bellet Laetitia Kameni Richard Vidal FedML 120 282 0 23 Aug 2021
Transfer Learning for High-dimensional Linear Regression: Prediction, Estimation, and Minimax Optimality Sai Li T. Tony Cai Hongzhe Li 97 164 0 18 Jun 2020
An Efficient Framework for Clustered Federated Learning Avishek Ghosh Jichan Chung Dong Yin Kannan Ramchandran FedML 82 869 0 07 Jun 2020
EM Converges for a Mixture of Many Linear Regressions Jeongyeol Kwon Constantine Caramanis 62 40 0 28 May 2019
Statistical Convergence of the EM Algorithm on Gaussian Mixture Models Ruofei Zhao Yuanzhi Li Yuekai Sun 52 47 0 09 Oct 2018
A Survey on Multi-Task Learning Yu Zhang Qiang Yang AIMat 605 2,243 0 25 Jul 2017
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 145 1,909 0 08 Oct 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 408 17,615 0 17 Feb 2016
Communication-Efficient Distributed Dual Coordinate Ascent Martin Jaggi Virginia Smith Martin Takáč Jonathan Terhorst S. Krishnan Thomas Hofmann Michael I. Jordan 102 353 0 04 Sep 2014
Statistical guarantees for the EM algorithm: From population to sample-based analysis Sivaraman Balakrishnan Martin J. Wainwright Bin Yu 318 481 0 09 Aug 2014
Multi-task Regression using Minimal Penalties Matthieu Solnon Sylvain Arlot Francis R. Bach 102 59 0 22 Jul 2011
Oracle Inequalities and Optimal Inference under Group Sparsity Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 317 381 0 11 Jul 2010