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

23 October 2023

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

5 / 5 papers shown

Title
Federated Variational Inference for Bayesian Mixture Models Jackie Rao Francesca L. Crowe Tom Marshall S. Richardson Paul D. W. Kirk FedML 95 0 0 18 Feb 2025
Byzantine-tolerant distributed learning of finite mixture models Qiong Zhang Jiahua Chen Jiahua Chen FedML 29 0 0 19 Jul 2024
Personalized Federated Learning under Mixture of Distributions Yue Wu Shuaicheng Zhang Wenchao Yu Yanchi Liu Quanquan Gu Dawei Zhou Haifeng Chen Wei Cheng FedML 61 38 0 01 May 2023
Adaptive and Robust Multi-Task Learning Yaqi Duan Kaizheng Wang 62 22 0 10 Feb 2022
Oracle Inequalities and Optimal Inference under Group Sparsity Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 113 377 0 11 Jul 2010