← Back to papers
2024 ICML ICML 2024

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

Authors

Ye Tian , Haolei Weng , Yang Feng
Download PDF

Related papers

Learning Latent Dynamic Robust Representations for World Models 2024
Beyond Individual Input for Deep Anomaly Detection on Tabular Data 2024
Risk Estimation in a Markov Cost Process: Lower and Upper Bounds 2024
Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval 2024
Ranking-based Client Imitation Selection for Efficient Federated Learning 2024