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

Ye Tian; Haolei Weng; Yang Feng

2024 ICML ICML 2024

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

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Ye Tian, Haolei Weng, Yang Feng

Topics

Artificial Intelligence > Bayesian & Probabilistic > Probabilistic Modeling Machine Learning > Learning Types > Unsupervised Learning Machine Learning > Optimization & Theory > Learning Theory

Keywords

adversarial attack mixture model estimation error model parameter mixture proportion finite sample theory

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