3 papers
cs.LG2026
Distributed Online Bandit Submodular Maximization with Bounded Sampling Violations
Bin Du, Chang Liu, Dingqi Zhu +2
We study distributed online submodular maximization under partition matroid constraints, in which multiple agents select a limited number of actions from their own subsets sequenti…
stat.ML2026
Decentralized EM Algorithm for Gaussian Mixtures under Data Heterogeneity and Partial Labeling
Xuetong Li, Shuyuan Wu, Bin Du +1
We systematically study several network-based Expectation-Maximization (EM) algorithms for the Gaussian mixture model within decentralized federated learning (DFL). Our theoretical…
cs.LG2026
Online Learning of Kalman Filtering: From Output to State Estimation
Lintao Ye, Ankang Zhang, Ming Chi +2
In this paper, we study the problem of learning Kalman filtering with unknown system model in partially observed linear dynamical systems. We propose a unified algorithmic framewor…